<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
<html xmlns="http://www.w3.org/1999/xhtml">
<head>
<meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
<meta http-equiv="X-UA-Compatible" content="IE=9"/>
<meta name="generator" content="Doxygen 1.8.5"/>
<title>Faiss: /data/users/hoss/faiss/IndexScalarQuantizer.cpp Source File</title>
<link href="tabs.css" rel="stylesheet" type="text/css"/>
<script type="text/javascript" src="jquery.js"></script>
<script type="text/javascript" src="dynsections.js"></script>
<link href="search/search.css" rel="stylesheet" type="text/css"/>
<script type="text/javascript" src="search/search.js"></script>
<script type="text/javascript">
  $(document).ready(function() { searchBox.OnSelectItem(0); });
</script>
<link href="doxygen.css" rel="stylesheet" type="text/css" />
</head>
<body>
<div id="top"><!-- do not remove this div, it is closed by doxygen! -->
<div id="titlearea">
<table cellspacing="0" cellpadding="0">
 <tbody>
 <tr style="height: 56px;">
  <td style="padding-left: 0.5em;">
   <div id="projectname">Faiss
   </div>
  </td>
 </tr>
 </tbody>
</table>
</div>
<!-- end header part -->
<!-- Generated by Doxygen 1.8.5 -->
<script type="text/javascript">
var searchBox = new SearchBox("searchBox", "search",false,'Search');
</script>
  <div id="navrow1" class="tabs">
    <ul class="tablist">
      <li><a href="index.html"><span>Main&#160;Page</span></a></li>
      <li><a href="namespaces.html"><span>Namespaces</span></a></li>
      <li><a href="annotated.html"><span>Classes</span></a></li>
      <li class="current"><a href="files.html"><span>Files</span></a></li>
      <li>
        <div id="MSearchBox" class="MSearchBoxInactive">
        <span class="left">
          <img id="MSearchSelect" src="search/mag_sel.png"
               onmouseover="return searchBox.OnSearchSelectShow()"
               onmouseout="return searchBox.OnSearchSelectHide()"
               alt=""/>
          <input type="text" id="MSearchField" value="Search" accesskey="S"
               onfocus="searchBox.OnSearchFieldFocus(true)" 
               onblur="searchBox.OnSearchFieldFocus(false)" 
               onkeyup="searchBox.OnSearchFieldChange(event)"/>
          </span><span class="right">
            <a id="MSearchClose" href="javascript:searchBox.CloseResultsWindow()"><img id="MSearchCloseImg" border="0" src="search/close.png" alt=""/></a>
          </span>
        </div>
      </li>
    </ul>
  </div>
  <div id="navrow2" class="tabs2">
    <ul class="tablist">
      <li><a href="files.html"><span>File&#160;List</span></a></li>
    </ul>
  </div>
</div><!-- top -->
<!-- window showing the filter options -->
<div id="MSearchSelectWindow"
     onmouseover="return searchBox.OnSearchSelectShow()"
     onmouseout="return searchBox.OnSearchSelectHide()"
     onkeydown="return searchBox.OnSearchSelectKey(event)">
<a class="SelectItem" href="javascript:void(0)" onclick="searchBox.OnSelectItem(0)"><span class="SelectionMark">&#160;</span>All</a><a class="SelectItem" href="javascript:void(0)" onclick="searchBox.OnSelectItem(1)"><span class="SelectionMark">&#160;</span>Classes</a><a class="SelectItem" href="javascript:void(0)" onclick="searchBox.OnSelectItem(2)"><span class="SelectionMark">&#160;</span>Namespaces</a><a class="SelectItem" href="javascript:void(0)" onclick="searchBox.OnSelectItem(3)"><span class="SelectionMark">&#160;</span>Functions</a><a class="SelectItem" href="javascript:void(0)" onclick="searchBox.OnSelectItem(4)"><span class="SelectionMark">&#160;</span>Variables</a><a class="SelectItem" href="javascript:void(0)" onclick="searchBox.OnSelectItem(5)"><span class="SelectionMark">&#160;</span>Typedefs</a><a class="SelectItem" href="javascript:void(0)" onclick="searchBox.OnSelectItem(6)"><span class="SelectionMark">&#160;</span>Enumerations</a><a class="SelectItem" href="javascript:void(0)" onclick="searchBox.OnSelectItem(7)"><span class="SelectionMark">&#160;</span>Enumerator</a><a class="SelectItem" href="javascript:void(0)" onclick="searchBox.OnSelectItem(8)"><span class="SelectionMark">&#160;</span>Friends</a></div>

<!-- iframe showing the search results (closed by default) -->
<div id="MSearchResultsWindow">
<iframe src="javascript:void(0)" frameborder="0" 
        name="MSearchResults" id="MSearchResults">
</iframe>
</div>

<div class="header">
  <div class="headertitle">
<div class="title">/data/users/hoss/faiss/IndexScalarQuantizer.cpp</div>  </div>
</div><!--header-->
<div class="contents">
<div class="fragment"><div class="line"><a name="l00001"></a><span class="lineno">    1</span>&#160;<span class="comment">/**</span></div>
<div class="line"><a name="l00002"></a><span class="lineno">    2</span>&#160;<span class="comment"> * Copyright (c) Facebook, Inc. and its affiliates.</span></div>
<div class="line"><a name="l00003"></a><span class="lineno">    3</span>&#160;<span class="comment"> *</span></div>
<div class="line"><a name="l00004"></a><span class="lineno">    4</span>&#160;<span class="comment"> * This source code is licensed under the MIT license found in the</span></div>
<div class="line"><a name="l00005"></a><span class="lineno">    5</span>&#160;<span class="comment"> * LICENSE file in the root directory of this source tree.</span></div>
<div class="line"><a name="l00006"></a><span class="lineno">    6</span>&#160;<span class="comment"> */</span></div>
<div class="line"><a name="l00007"></a><span class="lineno">    7</span>&#160;</div>
<div class="line"><a name="l00008"></a><span class="lineno">    8</span>&#160;<span class="comment">// -*- c++ -*-</span></div>
<div class="line"><a name="l00009"></a><span class="lineno">    9</span>&#160;</div>
<div class="line"><a name="l00010"></a><span class="lineno">   10</span>&#160;<span class="preprocessor">#include &quot;IndexScalarQuantizer.h&quot;</span></div>
<div class="line"><a name="l00011"></a><span class="lineno">   11</span>&#160;</div>
<div class="line"><a name="l00012"></a><span class="lineno">   12</span>&#160;<span class="preprocessor">#include &lt;cstdio&gt;</span></div>
<div class="line"><a name="l00013"></a><span class="lineno">   13</span>&#160;<span class="preprocessor">#include &lt;algorithm&gt;</span></div>
<div class="line"><a name="l00014"></a><span class="lineno">   14</span>&#160;</div>
<div class="line"><a name="l00015"></a><span class="lineno">   15</span>&#160;<span class="preprocessor">#include &lt;omp.h&gt;</span></div>
<div class="line"><a name="l00016"></a><span class="lineno">   16</span>&#160;</div>
<div class="line"><a name="l00017"></a><span class="lineno">   17</span>&#160;<span class="preprocessor">#ifdef __SSE__</span></div>
<div class="line"><a name="l00018"></a><span class="lineno">   18</span>&#160;<span class="preprocessor"></span><span class="preprocessor">#include &lt;immintrin.h&gt;</span></div>
<div class="line"><a name="l00019"></a><span class="lineno">   19</span>&#160;<span class="preprocessor">#endif</span></div>
<div class="line"><a name="l00020"></a><span class="lineno">   20</span>&#160;<span class="preprocessor"></span></div>
<div class="line"><a name="l00021"></a><span class="lineno">   21</span>&#160;<span class="preprocessor">#include &quot;utils.h&quot;</span></div>
<div class="line"><a name="l00022"></a><span class="lineno">   22</span>&#160;<span class="preprocessor">#include &quot;FaissAssert.h&quot;</span></div>
<div class="line"><a name="l00023"></a><span class="lineno">   23</span>&#160;<span class="preprocessor">#include &quot;AuxIndexStructures.h&quot;</span></div>
<div class="line"><a name="l00024"></a><span class="lineno">   24</span>&#160;</div>
<div class="line"><a name="l00025"></a><span class="lineno">   25</span>&#160;<span class="keyword">namespace </span>faiss {</div>
<div class="line"><a name="l00026"></a><span class="lineno">   26</span>&#160;</div>
<div class="line"><a name="l00027"></a><span class="lineno">   27</span>&#160;<span class="comment">/*******************************************************************</span></div>
<div class="line"><a name="l00028"></a><span class="lineno">   28</span>&#160;<span class="comment"> * ScalarQuantizer implementation</span></div>
<div class="line"><a name="l00029"></a><span class="lineno">   29</span>&#160;<span class="comment"> *</span></div>
<div class="line"><a name="l00030"></a><span class="lineno">   30</span>&#160;<span class="comment"> * The main source of complexity is to support combinations of 4</span></div>
<div class="line"><a name="l00031"></a><span class="lineno">   31</span>&#160;<span class="comment"> * variants without incurring runtime tests or virtual function calls:</span></div>
<div class="line"><a name="l00032"></a><span class="lineno">   32</span>&#160;<span class="comment"> *</span></div>
<div class="line"><a name="l00033"></a><span class="lineno">   33</span>&#160;<span class="comment"> * - 4 / 8 bits per code component</span></div>
<div class="line"><a name="l00034"></a><span class="lineno">   34</span>&#160;<span class="comment"> * - uniform / non-uniform</span></div>
<div class="line"><a name="l00035"></a><span class="lineno">   35</span>&#160;<span class="comment"> * - IP / L2 distance search</span></div>
<div class="line"><a name="l00036"></a><span class="lineno">   36</span>&#160;<span class="comment"> * - scalar / AVX distance computation</span></div>
<div class="line"><a name="l00037"></a><span class="lineno">   37</span>&#160;<span class="comment"> *</span></div>
<div class="line"><a name="l00038"></a><span class="lineno">   38</span>&#160;<span class="comment"> * The appropriate Quantizer object is returned via select_quantizer</span></div>
<div class="line"><a name="l00039"></a><span class="lineno">   39</span>&#160;<span class="comment"> * that hides the template mess.</span></div>
<div class="line"><a name="l00040"></a><span class="lineno">   40</span>&#160;<span class="comment"> ********************************************************************/</span></div>
<div class="line"><a name="l00041"></a><span class="lineno">   41</span>&#160;</div>
<div class="line"><a name="l00042"></a><span class="lineno">   42</span>&#160;<span class="preprocessor">#ifdef __AVX__</span></div>
<div class="line"><a name="l00043"></a><span class="lineno">   43</span>&#160;<span class="preprocessor"></span><span class="preprocessor">#define USE_AVX</span></div>
<div class="line"><a name="l00044"></a><span class="lineno">   44</span>&#160;<span class="preprocessor"></span><span class="preprocessor">#endif</span></div>
<div class="line"><a name="l00045"></a><span class="lineno">   45</span>&#160;<span class="preprocessor"></span></div>
<div class="line"><a name="l00046"></a><span class="lineno">   46</span>&#160;</div>
<div class="line"><a name="l00047"></a><span class="lineno"><a class="line" href="structfaiss_1_1SQDistanceComputer.html">   47</a></span>&#160;<span class="keyword">struct </span><a class="code" href="structfaiss_1_1SQDistanceComputer.html">SQDistanceComputer</a>: <a class="code" href="structfaiss_1_1DistanceComputer.html">DistanceComputer</a> {</div>
<div class="line"><a name="l00048"></a><span class="lineno">   48</span>&#160;</div>
<div class="line"><a name="l00049"></a><span class="lineno">   49</span>&#160;    <span class="keyword">const</span> <span class="keywordtype">float</span> *q;</div>
<div class="line"><a name="l00050"></a><span class="lineno">   50</span>&#160;    <span class="keyword">const</span> uint8_t *codes;</div>
<div class="line"><a name="l00051"></a><span class="lineno">   51</span>&#160;    <span class="keywordtype">size_t</span> code_size;</div>
<div class="line"><a name="l00052"></a><span class="lineno">   52</span>&#160;</div>
<div class="line"><a name="l00053"></a><span class="lineno">   53</span>&#160;    <a class="code" href="structfaiss_1_1SQDistanceComputer.html">SQDistanceComputer</a> (): q(<span class="keyword">nullptr</span>), codes (<span class="keyword">nullptr</span>), code_size (0)</div>
<div class="line"><a name="l00054"></a><span class="lineno">   54</span>&#160;    {}</div>
<div class="line"><a name="l00055"></a><span class="lineno">   55</span>&#160;</div>
<div class="line"><a name="l00056"></a><span class="lineno">   56</span>&#160;};</div>
<div class="line"><a name="l00057"></a><span class="lineno">   57</span>&#160;</div>
<div class="line"><a name="l00058"></a><span class="lineno">   58</span>&#160;</div>
<div class="line"><a name="l00059"></a><span class="lineno">   59</span>&#160;<span class="keyword">namespace </span>{</div>
<div class="line"><a name="l00060"></a><span class="lineno">   60</span>&#160;</div>
<div class="line"><a name="l00061"></a><span class="lineno">   61</span>&#160;<span class="keyword">typedef</span> <a class="code" href="structfaiss_1_1Index.html#ad3f0d3071f987baabbdd3da4500c87ea">Index::idx_t</a> idx_t;</div>
<div class="line"><a name="l00062"></a><span class="lineno">   62</span>&#160;<span class="keyword">typedef</span> <a class="code" href="structfaiss_1_1ScalarQuantizer.html#a1201dbd1611fa5c10782ade5d0e4952e">ScalarQuantizer::QuantizerType</a> QuantizerType;</div>
<div class="line"><a name="l00063"></a><span class="lineno">   63</span>&#160;<span class="keyword">typedef</span> <a class="code" href="structfaiss_1_1ScalarQuantizer.html#a867ad0000e4ccfd40bbb1e01e7882d06">ScalarQuantizer::RangeStat</a> RangeStat;</div>
<div class="line"><a name="l00064"></a><span class="lineno">   64</span>&#160;</div>
<div class="line"><a name="l00065"></a><span class="lineno">   65</span>&#160;</div>
<div class="line"><a name="l00066"></a><span class="lineno">   66</span>&#160;</div>
<div class="line"><a name="l00067"></a><span class="lineno">   67</span>&#160;<span class="comment">/*******************************************************************</span></div>
<div class="line"><a name="l00068"></a><span class="lineno">   68</span>&#160;<span class="comment"> * Codec: converts between values in [0, 1] and an index in a code</span></div>
<div class="line"><a name="l00069"></a><span class="lineno">   69</span>&#160;<span class="comment"> * array. The &quot;i&quot; parameter is the vector component index (not byte</span></div>
<div class="line"><a name="l00070"></a><span class="lineno">   70</span>&#160;<span class="comment"> * index).</span></div>
<div class="line"><a name="l00071"></a><span class="lineno">   71</span>&#160;<span class="comment"> */</span></div>
<div class="line"><a name="l00072"></a><span class="lineno">   72</span>&#160;</div>
<div class="line"><a name="l00073"></a><span class="lineno">   73</span>&#160;<span class="keyword">struct </span>Codec8bit {</div>
<div class="line"><a name="l00074"></a><span class="lineno">   74</span>&#160;</div>
<div class="line"><a name="l00075"></a><span class="lineno">   75</span>&#160;    <span class="keyword">static</span> <span class="keywordtype">void</span> encode_component (<span class="keywordtype">float</span> x, uint8_t *code, <span class="keywordtype">int</span> i) {</div>
<div class="line"><a name="l00076"></a><span class="lineno">   76</span>&#160;        code[i] = (int)(255 * x);</div>
<div class="line"><a name="l00077"></a><span class="lineno">   77</span>&#160;    }</div>
<div class="line"><a name="l00078"></a><span class="lineno">   78</span>&#160;</div>
<div class="line"><a name="l00079"></a><span class="lineno">   79</span>&#160;    <span class="keyword">static</span> <span class="keywordtype">float</span> decode_component (<span class="keyword">const</span> uint8_t *code, <span class="keywordtype">int</span> i) {</div>
<div class="line"><a name="l00080"></a><span class="lineno">   80</span>&#160;        <span class="keywordflow">return</span> (code[i] + 0.5f) / 255.0f;</div>
<div class="line"><a name="l00081"></a><span class="lineno">   81</span>&#160;    }</div>
<div class="line"><a name="l00082"></a><span class="lineno">   82</span>&#160;</div>
<div class="line"><a name="l00083"></a><span class="lineno">   83</span>&#160;<span class="preprocessor">#ifdef USE_AVX</span></div>
<div class="line"><a name="l00084"></a><span class="lineno">   84</span>&#160;<span class="preprocessor"></span>    <span class="keyword">static</span> __m256 decode_8_components (<span class="keyword">const</span> uint8_t *code, <span class="keywordtype">int</span> i) {</div>
<div class="line"><a name="l00085"></a><span class="lineno">   85</span>&#160;        uint64_t c8 = *(uint64_t*)(code + i);</div>
<div class="line"><a name="l00086"></a><span class="lineno">   86</span>&#160;        __m128i c4lo = _mm_cvtepu8_epi32 (_mm_set1_epi32(c8));</div>
<div class="line"><a name="l00087"></a><span class="lineno">   87</span>&#160;        __m128i c4hi = _mm_cvtepu8_epi32 (_mm_set1_epi32(c8 &gt;&gt; 32));</div>
<div class="line"><a name="l00088"></a><span class="lineno">   88</span>&#160;        <span class="comment">// __m256i i8 = _mm256_set_m128i(c4lo, c4hi);</span></div>
<div class="line"><a name="l00089"></a><span class="lineno">   89</span>&#160;        __m256i i8 = _mm256_castsi128_si256 (c4lo);</div>
<div class="line"><a name="l00090"></a><span class="lineno">   90</span>&#160;        i8 = _mm256_insertf128_si256 (i8, c4hi, 1);</div>
<div class="line"><a name="l00091"></a><span class="lineno">   91</span>&#160;        __m256 f8 = _mm256_cvtepi32_ps (i8);</div>
<div class="line"><a name="l00092"></a><span class="lineno">   92</span>&#160;        __m256 half = _mm256_set1_ps (0.5f);</div>
<div class="line"><a name="l00093"></a><span class="lineno">   93</span>&#160;        f8 += half;</div>
<div class="line"><a name="l00094"></a><span class="lineno">   94</span>&#160;        __m256 one_255 = _mm256_set1_ps (1.f / 255.f);</div>
<div class="line"><a name="l00095"></a><span class="lineno">   95</span>&#160;        <span class="keywordflow">return</span> f8 * one_255;</div>
<div class="line"><a name="l00096"></a><span class="lineno">   96</span>&#160;    }</div>
<div class="line"><a name="l00097"></a><span class="lineno">   97</span>&#160;<span class="preprocessor">#endif</span></div>
<div class="line"><a name="l00098"></a><span class="lineno">   98</span>&#160;<span class="preprocessor"></span>};</div>
<div class="line"><a name="l00099"></a><span class="lineno">   99</span>&#160;</div>
<div class="line"><a name="l00100"></a><span class="lineno">  100</span>&#160;</div>
<div class="line"><a name="l00101"></a><span class="lineno">  101</span>&#160;<span class="keyword">struct </span>Codec4bit {</div>
<div class="line"><a name="l00102"></a><span class="lineno">  102</span>&#160;</div>
<div class="line"><a name="l00103"></a><span class="lineno">  103</span>&#160;    <span class="keyword">static</span> <span class="keywordtype">void</span> encode_component (<span class="keywordtype">float</span> x, uint8_t *code, <span class="keywordtype">int</span> i) {</div>
<div class="line"><a name="l00104"></a><span class="lineno">  104</span>&#160;        code [i / 2] |= (int)(x * 15.0) &lt;&lt; ((i &amp; 1) &lt;&lt; 2);</div>
<div class="line"><a name="l00105"></a><span class="lineno">  105</span>&#160;    }</div>
<div class="line"><a name="l00106"></a><span class="lineno">  106</span>&#160;</div>
<div class="line"><a name="l00107"></a><span class="lineno">  107</span>&#160;    <span class="keyword">static</span> <span class="keywordtype">float</span> decode_component (<span class="keyword">const</span> uint8_t *code, <span class="keywordtype">int</span> i) {</div>
<div class="line"><a name="l00108"></a><span class="lineno">  108</span>&#160;        <span class="keywordflow">return</span> (((code[i / 2] &gt;&gt; ((i &amp; 1) &lt;&lt; 2)) &amp; 0xf) + 0.5f) / 15.0f;</div>
<div class="line"><a name="l00109"></a><span class="lineno">  109</span>&#160;    }</div>
<div class="line"><a name="l00110"></a><span class="lineno">  110</span>&#160;</div>
<div class="line"><a name="l00111"></a><span class="lineno">  111</span>&#160;</div>
<div class="line"><a name="l00112"></a><span class="lineno">  112</span>&#160;<span class="preprocessor">#ifdef USE_AVX</span></div>
<div class="line"><a name="l00113"></a><span class="lineno">  113</span>&#160;<span class="preprocessor"></span>    <span class="keyword">static</span> __m256 decode_8_components (<span class="keyword">const</span> uint8_t *code, <span class="keywordtype">int</span> i) {</div>
<div class="line"><a name="l00114"></a><span class="lineno">  114</span>&#160;        uint32_t c4 = *(uint32_t*)(code + (i &gt;&gt; 1));</div>
<div class="line"><a name="l00115"></a><span class="lineno">  115</span>&#160;        uint32_t mask = 0x0f0f0f0f;</div>
<div class="line"><a name="l00116"></a><span class="lineno">  116</span>&#160;        uint32_t c4ev = c4 &amp; mask;</div>
<div class="line"><a name="l00117"></a><span class="lineno">  117</span>&#160;        uint32_t c4od = (c4 &gt;&gt; 4) &amp; mask;</div>
<div class="line"><a name="l00118"></a><span class="lineno">  118</span>&#160;</div>
<div class="line"><a name="l00119"></a><span class="lineno">  119</span>&#160;        <span class="comment">// the 8 lower bytes of c8 contain the values</span></div>
<div class="line"><a name="l00120"></a><span class="lineno">  120</span>&#160;        __m128i c8 = _mm_unpacklo_epi8 (_mm_set1_epi32(c4ev),</div>
<div class="line"><a name="l00121"></a><span class="lineno">  121</span>&#160;                                        _mm_set1_epi32(c4od));</div>
<div class="line"><a name="l00122"></a><span class="lineno">  122</span>&#160;        __m128i c4lo = _mm_cvtepu8_epi32 (c8);</div>
<div class="line"><a name="l00123"></a><span class="lineno">  123</span>&#160;        __m128i c4hi = _mm_cvtepu8_epi32 (_mm_srli_si128(c8, 4));</div>
<div class="line"><a name="l00124"></a><span class="lineno">  124</span>&#160;        __m256i i8 = _mm256_castsi128_si256 (c4lo);</div>
<div class="line"><a name="l00125"></a><span class="lineno">  125</span>&#160;        i8 = _mm256_insertf128_si256 (i8, c4hi, 1);</div>
<div class="line"><a name="l00126"></a><span class="lineno">  126</span>&#160;        __m256 f8 = _mm256_cvtepi32_ps (i8);</div>
<div class="line"><a name="l00127"></a><span class="lineno">  127</span>&#160;        __m256 half = _mm256_set1_ps (0.5f);</div>
<div class="line"><a name="l00128"></a><span class="lineno">  128</span>&#160;        f8 += half;</div>
<div class="line"><a name="l00129"></a><span class="lineno">  129</span>&#160;        __m256 one_255 = _mm256_set1_ps (1.f / 15.f);</div>
<div class="line"><a name="l00130"></a><span class="lineno">  130</span>&#160;        <span class="keywordflow">return</span> f8 * one_255;</div>
<div class="line"><a name="l00131"></a><span class="lineno">  131</span>&#160;    }</div>
<div class="line"><a name="l00132"></a><span class="lineno">  132</span>&#160;<span class="preprocessor">#endif</span></div>
<div class="line"><a name="l00133"></a><span class="lineno">  133</span>&#160;<span class="preprocessor"></span>};</div>
<div class="line"><a name="l00134"></a><span class="lineno">  134</span>&#160;</div>
<div class="line"><a name="l00135"></a><span class="lineno">  135</span>&#160;<span class="keyword">struct </span>Codec6bit {</div>
<div class="line"><a name="l00136"></a><span class="lineno">  136</span>&#160;</div>
<div class="line"><a name="l00137"></a><span class="lineno">  137</span>&#160;    <span class="keyword">static</span> <span class="keywordtype">void</span> encode_component (<span class="keywordtype">float</span> x, uint8_t *code, <span class="keywordtype">int</span> i) {</div>
<div class="line"><a name="l00138"></a><span class="lineno">  138</span>&#160;        <span class="keywordtype">int</span> bits = (int)(x * 63.0);</div>
<div class="line"><a name="l00139"></a><span class="lineno">  139</span>&#160;        code += (i &gt;&gt; 2) * 3;</div>
<div class="line"><a name="l00140"></a><span class="lineno">  140</span>&#160;        <span class="keywordflow">switch</span>(i &amp; 3) {</div>
<div class="line"><a name="l00141"></a><span class="lineno">  141</span>&#160;        <span class="keywordflow">case</span> 0:</div>
<div class="line"><a name="l00142"></a><span class="lineno">  142</span>&#160;            code[0] |= bits;</div>
<div class="line"><a name="l00143"></a><span class="lineno">  143</span>&#160;            <span class="keywordflow">break</span>;</div>
<div class="line"><a name="l00144"></a><span class="lineno">  144</span>&#160;        <span class="keywordflow">case</span> 1:</div>
<div class="line"><a name="l00145"></a><span class="lineno">  145</span>&#160;            code[0] |= bits &lt;&lt; 6;</div>
<div class="line"><a name="l00146"></a><span class="lineno">  146</span>&#160;            code[1] |= bits &gt;&gt; 2;</div>
<div class="line"><a name="l00147"></a><span class="lineno">  147</span>&#160;            <span class="keywordflow">break</span>;</div>
<div class="line"><a name="l00148"></a><span class="lineno">  148</span>&#160;        <span class="keywordflow">case</span> 2:</div>
<div class="line"><a name="l00149"></a><span class="lineno">  149</span>&#160;            code[1] |= bits &lt;&lt; 4;</div>
<div class="line"><a name="l00150"></a><span class="lineno">  150</span>&#160;            code[2] |= bits &gt;&gt; 4;</div>
<div class="line"><a name="l00151"></a><span class="lineno">  151</span>&#160;            <span class="keywordflow">break</span>;</div>
<div class="line"><a name="l00152"></a><span class="lineno">  152</span>&#160;        <span class="keywordflow">case</span> 3:</div>
<div class="line"><a name="l00153"></a><span class="lineno">  153</span>&#160;            code[2] |= bits &lt;&lt; 2;</div>
<div class="line"><a name="l00154"></a><span class="lineno">  154</span>&#160;            <span class="keywordflow">break</span>;</div>
<div class="line"><a name="l00155"></a><span class="lineno">  155</span>&#160;        }</div>
<div class="line"><a name="l00156"></a><span class="lineno">  156</span>&#160;    }</div>
<div class="line"><a name="l00157"></a><span class="lineno">  157</span>&#160;</div>
<div class="line"><a name="l00158"></a><span class="lineno">  158</span>&#160;    <span class="keyword">static</span> <span class="keywordtype">float</span> decode_component (<span class="keyword">const</span> uint8_t *code, <span class="keywordtype">int</span> i) {</div>
<div class="line"><a name="l00159"></a><span class="lineno">  159</span>&#160;        uint8_t bits;</div>
<div class="line"><a name="l00160"></a><span class="lineno">  160</span>&#160;        code += (i &gt;&gt; 2) * 3;</div>
<div class="line"><a name="l00161"></a><span class="lineno">  161</span>&#160;        <span class="keywordflow">switch</span>(i &amp; 3) {</div>
<div class="line"><a name="l00162"></a><span class="lineno">  162</span>&#160;        <span class="keywordflow">case</span> 0:</div>
<div class="line"><a name="l00163"></a><span class="lineno">  163</span>&#160;            bits = code[0] &amp; 0x3f;</div>
<div class="line"><a name="l00164"></a><span class="lineno">  164</span>&#160;            <span class="keywordflow">break</span>;</div>
<div class="line"><a name="l00165"></a><span class="lineno">  165</span>&#160;        <span class="keywordflow">case</span> 1:</div>
<div class="line"><a name="l00166"></a><span class="lineno">  166</span>&#160;            bits = code[0] &gt;&gt; 6;</div>
<div class="line"><a name="l00167"></a><span class="lineno">  167</span>&#160;            bits |= (code[1] &amp; 0xf) &lt;&lt; 2;</div>
<div class="line"><a name="l00168"></a><span class="lineno">  168</span>&#160;            <span class="keywordflow">break</span>;</div>
<div class="line"><a name="l00169"></a><span class="lineno">  169</span>&#160;        <span class="keywordflow">case</span> 2:</div>
<div class="line"><a name="l00170"></a><span class="lineno">  170</span>&#160;            bits = code[1] &gt;&gt; 4;</div>
<div class="line"><a name="l00171"></a><span class="lineno">  171</span>&#160;            bits |= (code[2] &amp; 3) &lt;&lt; 4;</div>
<div class="line"><a name="l00172"></a><span class="lineno">  172</span>&#160;            <span class="keywordflow">break</span>;</div>
<div class="line"><a name="l00173"></a><span class="lineno">  173</span>&#160;        <span class="keywordflow">case</span> 3:</div>
<div class="line"><a name="l00174"></a><span class="lineno">  174</span>&#160;            bits = code[2] &gt;&gt; 2;</div>
<div class="line"><a name="l00175"></a><span class="lineno">  175</span>&#160;            <span class="keywordflow">break</span>;</div>
<div class="line"><a name="l00176"></a><span class="lineno">  176</span>&#160;        }</div>
<div class="line"><a name="l00177"></a><span class="lineno">  177</span>&#160;        <span class="keywordflow">return</span> (bits + 0.5f) / 63.0f;</div>
<div class="line"><a name="l00178"></a><span class="lineno">  178</span>&#160;    }</div>
<div class="line"><a name="l00179"></a><span class="lineno">  179</span>&#160;</div>
<div class="line"><a name="l00180"></a><span class="lineno">  180</span>&#160;<span class="preprocessor">#ifdef USE_AVX</span></div>
<div class="line"><a name="l00181"></a><span class="lineno">  181</span>&#160;<span class="preprocessor"></span>    <span class="keyword">static</span> __m256 decode_8_components (<span class="keyword">const</span> uint8_t *code, <span class="keywordtype">int</span> i) {</div>
<div class="line"><a name="l00182"></a><span class="lineno">  182</span>&#160;        <span class="keywordflow">return</span> _mm256_set_ps</div>
<div class="line"><a name="l00183"></a><span class="lineno">  183</span>&#160;            (decode_component(code, i + 7),</div>
<div class="line"><a name="l00184"></a><span class="lineno">  184</span>&#160;             decode_component(code, i + 6),</div>
<div class="line"><a name="l00185"></a><span class="lineno">  185</span>&#160;             decode_component(code, i + 5),</div>
<div class="line"><a name="l00186"></a><span class="lineno">  186</span>&#160;             decode_component(code, i + 4),</div>
<div class="line"><a name="l00187"></a><span class="lineno">  187</span>&#160;             decode_component(code, i + 3),</div>
<div class="line"><a name="l00188"></a><span class="lineno">  188</span>&#160;             decode_component(code, i + 2),</div>
<div class="line"><a name="l00189"></a><span class="lineno">  189</span>&#160;             decode_component(code, i + 1),</div>
<div class="line"><a name="l00190"></a><span class="lineno">  190</span>&#160;             decode_component(code, i + 0));</div>
<div class="line"><a name="l00191"></a><span class="lineno">  191</span>&#160;    }</div>
<div class="line"><a name="l00192"></a><span class="lineno">  192</span>&#160;<span class="preprocessor">#endif</span></div>
<div class="line"><a name="l00193"></a><span class="lineno">  193</span>&#160;<span class="preprocessor"></span>};</div>
<div class="line"><a name="l00194"></a><span class="lineno">  194</span>&#160;</div>
<div class="line"><a name="l00195"></a><span class="lineno">  195</span>&#160;</div>
<div class="line"><a name="l00196"></a><span class="lineno">  196</span>&#160;</div>
<div class="line"><a name="l00197"></a><span class="lineno">  197</span>&#160;<span class="preprocessor">#ifdef USE_AVX</span></div>
<div class="line"><a name="l00198"></a><span class="lineno">  198</span>&#160;<span class="preprocessor"></span></div>
<div class="line"><a name="l00199"></a><span class="lineno">  199</span>&#160;</div>
<div class="line"><a name="l00200"></a><span class="lineno">  200</span>&#160;uint16_t encode_fp16 (<span class="keywordtype">float</span> x) {</div>
<div class="line"><a name="l00201"></a><span class="lineno">  201</span>&#160;    __m128 xf = _mm_set1_ps (x);</div>
<div class="line"><a name="l00202"></a><span class="lineno">  202</span>&#160;    __m128i xi = _mm_cvtps_ph (</div>
<div class="line"><a name="l00203"></a><span class="lineno">  203</span>&#160;         xf, _MM_FROUND_TO_NEAREST_INT |_MM_FROUND_NO_EXC);</div>
<div class="line"><a name="l00204"></a><span class="lineno">  204</span>&#160;    <span class="keywordflow">return</span> _mm_cvtsi128_si32 (xi) &amp; 0xffff;</div>
<div class="line"><a name="l00205"></a><span class="lineno">  205</span>&#160;}</div>
<div class="line"><a name="l00206"></a><span class="lineno">  206</span>&#160;</div>
<div class="line"><a name="l00207"></a><span class="lineno">  207</span>&#160;</div>
<div class="line"><a name="l00208"></a><span class="lineno">  208</span>&#160;<span class="keywordtype">float</span> decode_fp16 (uint16_t x) {</div>
<div class="line"><a name="l00209"></a><span class="lineno">  209</span>&#160;    __m128i xi = _mm_set1_epi16 (x);</div>
<div class="line"><a name="l00210"></a><span class="lineno">  210</span>&#160;    __m128 xf = _mm_cvtph_ps (xi);</div>
<div class="line"><a name="l00211"></a><span class="lineno">  211</span>&#160;    <span class="keywordflow">return</span> _mm_cvtss_f32 (xf);</div>
<div class="line"><a name="l00212"></a><span class="lineno">  212</span>&#160;}</div>
<div class="line"><a name="l00213"></a><span class="lineno">  213</span>&#160;</div>
<div class="line"><a name="l00214"></a><span class="lineno">  214</span>&#160;<span class="preprocessor">#else</span></div>
<div class="line"><a name="l00215"></a><span class="lineno">  215</span>&#160;<span class="preprocessor"></span></div>
<div class="line"><a name="l00216"></a><span class="lineno">  216</span>&#160;<span class="comment">// non-intrinsic FP16 &lt;-&gt; FP32 code adapted from</span></div>
<div class="line"><a name="l00217"></a><span class="lineno">  217</span>&#160;<span class="comment">// https://github.com/ispc/ispc/blob/master/stdlib.ispc</span></div>
<div class="line"><a name="l00218"></a><span class="lineno">  218</span>&#160;</div>
<div class="line"><a name="l00219"></a><span class="lineno">  219</span>&#160;<span class="keywordtype">float</span> floatbits (uint32_t x) {</div>
<div class="line"><a name="l00220"></a><span class="lineno">  220</span>&#160;    <span class="keywordtype">void</span> *xptr = &amp;x;</div>
<div class="line"><a name="l00221"></a><span class="lineno">  221</span>&#160;    <span class="keywordflow">return</span> *(<span class="keywordtype">float</span>*)xptr;</div>
<div class="line"><a name="l00222"></a><span class="lineno">  222</span>&#160;}</div>
<div class="line"><a name="l00223"></a><span class="lineno">  223</span>&#160;</div>
<div class="line"><a name="l00224"></a><span class="lineno">  224</span>&#160;uint32_t intbits (<span class="keywordtype">float</span> f) {</div>
<div class="line"><a name="l00225"></a><span class="lineno">  225</span>&#160;    <span class="keywordtype">void</span> *fptr = &amp;f;</div>
<div class="line"><a name="l00226"></a><span class="lineno">  226</span>&#160;    <span class="keywordflow">return</span> *(uint32_t*)fptr;</div>
<div class="line"><a name="l00227"></a><span class="lineno">  227</span>&#160;}</div>
<div class="line"><a name="l00228"></a><span class="lineno">  228</span>&#160;</div>
<div class="line"><a name="l00229"></a><span class="lineno">  229</span>&#160;</div>
<div class="line"><a name="l00230"></a><span class="lineno">  230</span>&#160;uint16_t encode_fp16 (<span class="keywordtype">float</span> f) {</div>
<div class="line"><a name="l00231"></a><span class="lineno">  231</span>&#160;</div>
<div class="line"><a name="l00232"></a><span class="lineno">  232</span>&#160;    <span class="comment">// via Fabian &quot;ryg&quot; Giesen.</span></div>
<div class="line"><a name="l00233"></a><span class="lineno">  233</span>&#160;    <span class="comment">// https://gist.github.com/2156668</span></div>
<div class="line"><a name="l00234"></a><span class="lineno">  234</span>&#160;    uint32_t sign_mask = 0x80000000u;</div>
<div class="line"><a name="l00235"></a><span class="lineno">  235</span>&#160;    int32_t o;</div>
<div class="line"><a name="l00236"></a><span class="lineno">  236</span>&#160;</div>
<div class="line"><a name="l00237"></a><span class="lineno">  237</span>&#160;    uint32_t fint = intbits(f);</div>
<div class="line"><a name="l00238"></a><span class="lineno">  238</span>&#160;    uint32_t sign = fint &amp; sign_mask;</div>
<div class="line"><a name="l00239"></a><span class="lineno">  239</span>&#160;    fint ^= sign;</div>
<div class="line"><a name="l00240"></a><span class="lineno">  240</span>&#160;</div>
<div class="line"><a name="l00241"></a><span class="lineno">  241</span>&#160;    <span class="comment">// NOTE all the integer compares in this function can be safely</span></div>
<div class="line"><a name="l00242"></a><span class="lineno">  242</span>&#160;    <span class="comment">// compiled into signed compares since all operands are below</span></div>
<div class="line"><a name="l00243"></a><span class="lineno">  243</span>&#160;    <span class="comment">// 0x80000000. Important if you want fast straight SSE2 code (since</span></div>
<div class="line"><a name="l00244"></a><span class="lineno">  244</span>&#160;    <span class="comment">// there&#39;s no unsigned PCMPGTD).</span></div>
<div class="line"><a name="l00245"></a><span class="lineno">  245</span>&#160;</div>
<div class="line"><a name="l00246"></a><span class="lineno">  246</span>&#160;    <span class="comment">// Inf or NaN (all exponent bits set)</span></div>
<div class="line"><a name="l00247"></a><span class="lineno">  247</span>&#160;    <span class="comment">// NaN-&gt;qNaN and Inf-&gt;Inf</span></div>
<div class="line"><a name="l00248"></a><span class="lineno">  248</span>&#160;    <span class="comment">// unconditional assignment here, will override with right value for</span></div>
<div class="line"><a name="l00249"></a><span class="lineno">  249</span>&#160;    <span class="comment">// the regular case below.</span></div>
<div class="line"><a name="l00250"></a><span class="lineno">  250</span>&#160;    uint32_t f32infty = 255u &lt;&lt; 23;</div>
<div class="line"><a name="l00251"></a><span class="lineno">  251</span>&#160;    o = (fint &gt; f32infty) ? 0x7e00u : 0x7c00u;</div>
<div class="line"><a name="l00252"></a><span class="lineno">  252</span>&#160;</div>
<div class="line"><a name="l00253"></a><span class="lineno">  253</span>&#160;    <span class="comment">// (De)normalized number or zero</span></div>
<div class="line"><a name="l00254"></a><span class="lineno">  254</span>&#160;    <span class="comment">// update fint unconditionally to save the blending; we don&#39;t need it</span></div>
<div class="line"><a name="l00255"></a><span class="lineno">  255</span>&#160;    <span class="comment">// anymore for the Inf/NaN case anyway.</span></div>
<div class="line"><a name="l00256"></a><span class="lineno">  256</span>&#160;</div>
<div class="line"><a name="l00257"></a><span class="lineno">  257</span>&#160;    <span class="keyword">const</span> uint32_t round_mask = ~0xfffu;</div>
<div class="line"><a name="l00258"></a><span class="lineno">  258</span>&#160;    <span class="keyword">const</span> uint32_t magic = 15u &lt;&lt; 23;</div>
<div class="line"><a name="l00259"></a><span class="lineno">  259</span>&#160;</div>
<div class="line"><a name="l00260"></a><span class="lineno">  260</span>&#160;    <span class="comment">// Shift exponent down, denormalize if necessary.</span></div>
<div class="line"><a name="l00261"></a><span class="lineno">  261</span>&#160;    <span class="comment">// NOTE This represents half-float denormals using single</span></div>
<div class="line"><a name="l00262"></a><span class="lineno">  262</span>&#160;    <span class="comment">// precision denormals.  The main reason to do this is that</span></div>
<div class="line"><a name="l00263"></a><span class="lineno">  263</span>&#160;    <span class="comment">// there&#39;s no shift with per-lane variable shifts in SSE*, which</span></div>
<div class="line"><a name="l00264"></a><span class="lineno">  264</span>&#160;    <span class="comment">// we&#39;d otherwise need. It has some funky side effects though:</span></div>
<div class="line"><a name="l00265"></a><span class="lineno">  265</span>&#160;    <span class="comment">// - This conversion will actually respect the FTZ (Flush To Zero)</span></div>
<div class="line"><a name="l00266"></a><span class="lineno">  266</span>&#160;    <span class="comment">//   flag in MXCSR - if it&#39;s set, no half-float denormals will be</span></div>
<div class="line"><a name="l00267"></a><span class="lineno">  267</span>&#160;    <span class="comment">//   generated. I&#39;m honestly not sure whether this is good or</span></div>
<div class="line"><a name="l00268"></a><span class="lineno">  268</span>&#160;    <span class="comment">//   bad. It&#39;s definitely interesting.</span></div>
<div class="line"><a name="l00269"></a><span class="lineno">  269</span>&#160;    <span class="comment">// - If the underlying HW doesn&#39;t support denormals (not an issue</span></div>
<div class="line"><a name="l00270"></a><span class="lineno">  270</span>&#160;    <span class="comment">//   with Intel CPUs, but might be a problem on GPUs or PS3 SPUs),</span></div>
<div class="line"><a name="l00271"></a><span class="lineno">  271</span>&#160;    <span class="comment">//   you will always get flush-to-zero behavior. This is bad,</span></div>
<div class="line"><a name="l00272"></a><span class="lineno">  272</span>&#160;    <span class="comment">//   unless you&#39;re on a CPU where you don&#39;t care.</span></div>
<div class="line"><a name="l00273"></a><span class="lineno">  273</span>&#160;    <span class="comment">// - Denormals tend to be slow. FP32 denormals are rare in</span></div>
<div class="line"><a name="l00274"></a><span class="lineno">  274</span>&#160;    <span class="comment">//   practice outside of things like recursive filters in DSP -</span></div>
<div class="line"><a name="l00275"></a><span class="lineno">  275</span>&#160;    <span class="comment">//   not a typical half-float application. Whether FP16 denormals</span></div>
<div class="line"><a name="l00276"></a><span class="lineno">  276</span>&#160;    <span class="comment">//   are rare in practice, I don&#39;t know. Whatever slow path your</span></div>
<div class="line"><a name="l00277"></a><span class="lineno">  277</span>&#160;    <span class="comment">//   HW may or may not have for denormals, this may well hit it.</span></div>
<div class="line"><a name="l00278"></a><span class="lineno">  278</span>&#160;    <span class="keywordtype">float</span> fscale = floatbits(fint &amp; round_mask) * floatbits(magic);</div>
<div class="line"><a name="l00279"></a><span class="lineno">  279</span>&#160;    fscale = std::min(fscale, floatbits((31u &lt;&lt; 23) - 0x1000u));</div>
<div class="line"><a name="l00280"></a><span class="lineno">  280</span>&#160;    int32_t fint2 = intbits(fscale) - round_mask;</div>
<div class="line"><a name="l00281"></a><span class="lineno">  281</span>&#160;</div>
<div class="line"><a name="l00282"></a><span class="lineno">  282</span>&#160;    <span class="keywordflow">if</span> (fint &lt; f32infty)</div>
<div class="line"><a name="l00283"></a><span class="lineno">  283</span>&#160;        o = fint2 &gt;&gt; 13; <span class="comment">// Take the bits!</span></div>
<div class="line"><a name="l00284"></a><span class="lineno">  284</span>&#160;</div>
<div class="line"><a name="l00285"></a><span class="lineno">  285</span>&#160;    <span class="keywordflow">return</span> (o | (sign &gt;&gt; 16));</div>
<div class="line"><a name="l00286"></a><span class="lineno">  286</span>&#160;}</div>
<div class="line"><a name="l00287"></a><span class="lineno">  287</span>&#160;</div>
<div class="line"><a name="l00288"></a><span class="lineno">  288</span>&#160;<span class="keywordtype">float</span> decode_fp16 (uint16_t h) {</div>
<div class="line"><a name="l00289"></a><span class="lineno">  289</span>&#160;</div>
<div class="line"><a name="l00290"></a><span class="lineno">  290</span>&#160;    <span class="comment">// https://gist.github.com/2144712</span></div>
<div class="line"><a name="l00291"></a><span class="lineno">  291</span>&#160;    <span class="comment">// Fabian &quot;ryg&quot; Giesen.</span></div>
<div class="line"><a name="l00292"></a><span class="lineno">  292</span>&#160;</div>
<div class="line"><a name="l00293"></a><span class="lineno">  293</span>&#160;    <span class="keyword">const</span> uint32_t shifted_exp = 0x7c00u &lt;&lt; 13; <span class="comment">// exponent mask after shift</span></div>
<div class="line"><a name="l00294"></a><span class="lineno">  294</span>&#160;</div>
<div class="line"><a name="l00295"></a><span class="lineno">  295</span>&#160;    int32_t o = ((int32_t)(h &amp; 0x7fffu)) &lt;&lt; 13;     <span class="comment">// exponent/mantissa bits</span></div>
<div class="line"><a name="l00296"></a><span class="lineno">  296</span>&#160;    int32_t exp = shifted_exp &amp; o;   <span class="comment">// just the exponent</span></div>
<div class="line"><a name="l00297"></a><span class="lineno">  297</span>&#160;    o += (int32_t)(127 - 15) &lt;&lt; 23;        <span class="comment">// exponent adjust</span></div>
<div class="line"><a name="l00298"></a><span class="lineno">  298</span>&#160;</div>
<div class="line"><a name="l00299"></a><span class="lineno">  299</span>&#160;    int32_t infnan_val = o + ((int32_t)(128 - 16) &lt;&lt; 23);</div>
<div class="line"><a name="l00300"></a><span class="lineno">  300</span>&#160;    int32_t zerodenorm_val = intbits(</div>
<div class="line"><a name="l00301"></a><span class="lineno">  301</span>&#160;                 floatbits(o + (1u&lt;&lt;23)) - floatbits(113u &lt;&lt; 23));</div>
<div class="line"><a name="l00302"></a><span class="lineno">  302</span>&#160;    int32_t reg_val = (exp == 0) ? zerodenorm_val : o;</div>
<div class="line"><a name="l00303"></a><span class="lineno">  303</span>&#160;</div>
<div class="line"><a name="l00304"></a><span class="lineno">  304</span>&#160;    int32_t sign_bit = ((int32_t)(h &amp; 0x8000u)) &lt;&lt; 16;</div>
<div class="line"><a name="l00305"></a><span class="lineno">  305</span>&#160;    <span class="keywordflow">return</span> floatbits(((exp == shifted_exp) ? infnan_val : reg_val) | sign_bit);</div>
<div class="line"><a name="l00306"></a><span class="lineno">  306</span>&#160;}</div>
<div class="line"><a name="l00307"></a><span class="lineno">  307</span>&#160;</div>
<div class="line"><a name="l00308"></a><span class="lineno">  308</span>&#160;<span class="preprocessor">#endif</span></div>
<div class="line"><a name="l00309"></a><span class="lineno">  309</span>&#160;<span class="preprocessor"></span></div>
<div class="line"><a name="l00310"></a><span class="lineno">  310</span>&#160;</div>
<div class="line"><a name="l00311"></a><span class="lineno">  311</span>&#160;</div>
<div class="line"><a name="l00312"></a><span class="lineno">  312</span>&#160;<span class="comment">/*******************************************************************</span></div>
<div class="line"><a name="l00313"></a><span class="lineno">  313</span>&#160;<span class="comment"> * Quantizer: normalizes scalar vector components, then passes them</span></div>
<div class="line"><a name="l00314"></a><span class="lineno">  314</span>&#160;<span class="comment"> * through a codec</span></div>
<div class="line"><a name="l00315"></a><span class="lineno">  315</span>&#160;<span class="comment"> *******************************************************************/</span></div>
<div class="line"><a name="l00316"></a><span class="lineno">  316</span>&#160;</div>
<div class="line"><a name="l00317"></a><span class="lineno">  317</span>&#160;</div>
<div class="line"><a name="l00318"></a><span class="lineno">  318</span>&#160;</div>
<div class="line"><a name="l00319"></a><span class="lineno">  319</span>&#160;<span class="keyword">struct </span>Quantizer {</div>
<div class="line"><a name="l00320"></a><span class="lineno">  320</span>&#160;    <span class="comment">// encodes one vector. Assumes code is filled with 0s on input!</span></div>
<div class="line"><a name="l00321"></a><span class="lineno">  321</span>&#160;    <span class="keyword">virtual</span> <span class="keywordtype">void</span> encode_vector(<span class="keyword">const</span> <span class="keywordtype">float</span> *x, uint8_t *code) <span class="keyword">const</span> = 0;</div>
<div class="line"><a name="l00322"></a><span class="lineno">  322</span>&#160;    <span class="keyword">virtual</span> <span class="keywordtype">void</span> decode_vector(<span class="keyword">const</span> uint8_t *code, <span class="keywordtype">float</span> *x) <span class="keyword">const</span> = 0;</div>
<div class="line"><a name="l00323"></a><span class="lineno">  323</span>&#160;</div>
<div class="line"><a name="l00324"></a><span class="lineno">  324</span>&#160;    <span class="keyword">virtual</span> ~Quantizer() {}</div>
<div class="line"><a name="l00325"></a><span class="lineno">  325</span>&#160;};</div>
<div class="line"><a name="l00326"></a><span class="lineno">  326</span>&#160;</div>
<div class="line"><a name="l00327"></a><span class="lineno">  327</span>&#160;</div>
<div class="line"><a name="l00328"></a><span class="lineno">  328</span>&#160;<span class="keyword">template</span>&lt;<span class="keyword">class</span> Codec, <span class="keywordtype">bool</span> uniform, <span class="keywordtype">int</span> SIMD&gt;</div>
<div class="line"><a name="l00329"></a><span class="lineno">  329</span>&#160;<span class="keyword">struct </span>QuantizerTemplate {};</div>
<div class="line"><a name="l00330"></a><span class="lineno">  330</span>&#160;</div>
<div class="line"><a name="l00331"></a><span class="lineno">  331</span>&#160;</div>
<div class="line"><a name="l00332"></a><span class="lineno">  332</span>&#160;<span class="keyword">template</span>&lt;<span class="keyword">class</span> Codec&gt;</div>
<div class="line"><a name="l00333"></a><span class="lineno">  333</span>&#160;<span class="keyword">struct </span>QuantizerTemplate&lt;Codec, true, 1&gt;: Quantizer {</div>
<div class="line"><a name="l00334"></a><span class="lineno">  334</span>&#160;    <span class="keyword">const</span> <span class="keywordtype">size_t</span> d;</div>
<div class="line"><a name="l00335"></a><span class="lineno">  335</span>&#160;    <span class="keyword">const</span> <span class="keywordtype">float</span> vmin, vdiff;</div>
<div class="line"><a name="l00336"></a><span class="lineno">  336</span>&#160;</div>
<div class="line"><a name="l00337"></a><span class="lineno">  337</span>&#160;    QuantizerTemplate(<span class="keywordtype">size_t</span> d, <span class="keyword">const</span> std::vector&lt;float&gt; &amp;trained):</div>
<div class="line"><a name="l00338"></a><span class="lineno">  338</span>&#160;        d(d), vmin(trained[0]), vdiff(trained[1])</div>
<div class="line"><a name="l00339"></a><span class="lineno">  339</span>&#160;    {</div>
<div class="line"><a name="l00340"></a><span class="lineno">  340</span>&#160;    }</div>
<div class="line"><a name="l00341"></a><span class="lineno">  341</span>&#160;</div>
<div class="line"><a name="l00342"></a><span class="lineno">  342</span>&#160;    <span class="keywordtype">void</span> encode_vector(<span class="keyword">const</span> <span class="keywordtype">float</span>* x, uint8_t* code) <span class="keyword">const</span> <span class="keyword">final</span> {</div>
<div class="line"><a name="l00343"></a><span class="lineno">  343</span>&#160;        <span class="keywordflow">for</span> (<span class="keywordtype">size_t</span> i = 0; i &lt; d; i++) {</div>
<div class="line"><a name="l00344"></a><span class="lineno">  344</span>&#160;            <span class="keywordtype">float</span> xi = (x[i] - vmin) / vdiff;</div>
<div class="line"><a name="l00345"></a><span class="lineno">  345</span>&#160;            <span class="keywordflow">if</span> (xi &lt; 0) {</div>
<div class="line"><a name="l00346"></a><span class="lineno">  346</span>&#160;                xi = 0;</div>
<div class="line"><a name="l00347"></a><span class="lineno">  347</span>&#160;            }</div>
<div class="line"><a name="l00348"></a><span class="lineno">  348</span>&#160;            <span class="keywordflow">if</span> (xi &gt; 1.0) {</div>
<div class="line"><a name="l00349"></a><span class="lineno">  349</span>&#160;                xi = 1.0;</div>
<div class="line"><a name="l00350"></a><span class="lineno">  350</span>&#160;            }</div>
<div class="line"><a name="l00351"></a><span class="lineno">  351</span>&#160;            Codec::encode_component(xi, code, i);</div>
<div class="line"><a name="l00352"></a><span class="lineno">  352</span>&#160;        }</div>
<div class="line"><a name="l00353"></a><span class="lineno">  353</span>&#160;    }</div>
<div class="line"><a name="l00354"></a><span class="lineno">  354</span>&#160;</div>
<div class="line"><a name="l00355"></a><span class="lineno">  355</span>&#160;    <span class="keywordtype">void</span> decode_vector(<span class="keyword">const</span> uint8_t* code, <span class="keywordtype">float</span>* x) <span class="keyword">const</span> <span class="keyword">final</span> {</div>
<div class="line"><a name="l00356"></a><span class="lineno">  356</span>&#160;        <span class="keywordflow">for</span> (<span class="keywordtype">size_t</span> i = 0; i &lt; d; i++) {</div>
<div class="line"><a name="l00357"></a><span class="lineno">  357</span>&#160;            <span class="keywordtype">float</span> xi = Codec::decode_component(code, i);</div>
<div class="line"><a name="l00358"></a><span class="lineno">  358</span>&#160;            x[i] = vmin + xi * vdiff;</div>
<div class="line"><a name="l00359"></a><span class="lineno">  359</span>&#160;        }</div>
<div class="line"><a name="l00360"></a><span class="lineno">  360</span>&#160;    }</div>
<div class="line"><a name="l00361"></a><span class="lineno">  361</span>&#160;</div>
<div class="line"><a name="l00362"></a><span class="lineno">  362</span>&#160;    <span class="keywordtype">float</span> reconstruct_component (<span class="keyword">const</span> uint8_t * code, <span class="keywordtype">int</span> i)<span class="keyword"> const</span></div>
<div class="line"><a name="l00363"></a><span class="lineno">  363</span>&#160;<span class="keyword">    </span>{</div>
<div class="line"><a name="l00364"></a><span class="lineno">  364</span>&#160;        <span class="keywordtype">float</span> xi = Codec::decode_component (code, i);</div>
<div class="line"><a name="l00365"></a><span class="lineno">  365</span>&#160;        <span class="keywordflow">return</span> vmin + xi * vdiff;</div>
<div class="line"><a name="l00366"></a><span class="lineno">  366</span>&#160;    }</div>
<div class="line"><a name="l00367"></a><span class="lineno">  367</span>&#160;</div>
<div class="line"><a name="l00368"></a><span class="lineno">  368</span>&#160;};</div>
<div class="line"><a name="l00369"></a><span class="lineno">  369</span>&#160;</div>
<div class="line"><a name="l00370"></a><span class="lineno">  370</span>&#160;</div>
<div class="line"><a name="l00371"></a><span class="lineno">  371</span>&#160;</div>
<div class="line"><a name="l00372"></a><span class="lineno">  372</span>&#160;<span class="preprocessor">#ifdef USE_AVX</span></div>
<div class="line"><a name="l00373"></a><span class="lineno">  373</span>&#160;<span class="preprocessor"></span></div>
<div class="line"><a name="l00374"></a><span class="lineno">  374</span>&#160;<span class="keyword">template</span>&lt;<span class="keyword">class</span> Codec&gt;</div>
<div class="line"><a name="l00375"></a><span class="lineno">  375</span>&#160;<span class="keyword">struct </span>QuantizerTemplate&lt;Codec, true, 8&gt;: QuantizerTemplate&lt;Codec, true, 1&gt; {</div>
<div class="line"><a name="l00376"></a><span class="lineno">  376</span>&#160;</div>
<div class="line"><a name="l00377"></a><span class="lineno">  377</span>&#160;    QuantizerTemplate (<span class="keywordtype">size_t</span> d, <span class="keyword">const</span> std::vector&lt;float&gt; &amp;trained):</div>
<div class="line"><a name="l00378"></a><span class="lineno">  378</span>&#160;        QuantizerTemplate&lt;Codec, true, 1&gt; (d, trained) {}</div>
<div class="line"><a name="l00379"></a><span class="lineno">  379</span>&#160;</div>
<div class="line"><a name="l00380"></a><span class="lineno">  380</span>&#160;    __m256 reconstruct_8_components (<span class="keyword">const</span> uint8_t * code, <span class="keywordtype">int</span> i)<span class="keyword"> const</span></div>
<div class="line"><a name="l00381"></a><span class="lineno">  381</span>&#160;<span class="keyword">    </span>{</div>
<div class="line"><a name="l00382"></a><span class="lineno">  382</span>&#160;        __m256 xi = Codec::decode_8_components (code, i);</div>
<div class="line"><a name="l00383"></a><span class="lineno">  383</span>&#160;        <span class="keywordflow">return</span> _mm256_set1_ps(this-&gt;vmin) + xi * _mm256_set1_ps (this-&gt;vdiff);</div>
<div class="line"><a name="l00384"></a><span class="lineno">  384</span>&#160;    }</div>
<div class="line"><a name="l00385"></a><span class="lineno">  385</span>&#160;</div>
<div class="line"><a name="l00386"></a><span class="lineno">  386</span>&#160;};</div>
<div class="line"><a name="l00387"></a><span class="lineno">  387</span>&#160;</div>
<div class="line"><a name="l00388"></a><span class="lineno">  388</span>&#160;<span class="preprocessor">#endif</span></div>
<div class="line"><a name="l00389"></a><span class="lineno">  389</span>&#160;<span class="preprocessor"></span></div>
<div class="line"><a name="l00390"></a><span class="lineno">  390</span>&#160;</div>
<div class="line"><a name="l00391"></a><span class="lineno">  391</span>&#160;</div>
<div class="line"><a name="l00392"></a><span class="lineno">  392</span>&#160;<span class="keyword">template</span>&lt;<span class="keyword">class</span> Codec&gt;</div>
<div class="line"><a name="l00393"></a><span class="lineno">  393</span>&#160;<span class="keyword">struct </span>QuantizerTemplate&lt;Codec, false, 1&gt;: Quantizer {</div>
<div class="line"><a name="l00394"></a><span class="lineno">  394</span>&#160;    <span class="keyword">const</span> <span class="keywordtype">size_t</span> d;</div>
<div class="line"><a name="l00395"></a><span class="lineno">  395</span>&#160;    <span class="keyword">const</span> <span class="keywordtype">float</span> *vmin, *vdiff;</div>
<div class="line"><a name="l00396"></a><span class="lineno">  396</span>&#160;</div>
<div class="line"><a name="l00397"></a><span class="lineno">  397</span>&#160;    QuantizerTemplate (<span class="keywordtype">size_t</span> d, <span class="keyword">const</span> std::vector&lt;float&gt; &amp;trained):</div>
<div class="line"><a name="l00398"></a><span class="lineno">  398</span>&#160;        d(d), vmin(trained.data()), vdiff(trained.data() + d) {}</div>
<div class="line"><a name="l00399"></a><span class="lineno">  399</span>&#160;</div>
<div class="line"><a name="l00400"></a><span class="lineno">  400</span>&#160;    <span class="keywordtype">void</span> encode_vector(<span class="keyword">const</span> <span class="keywordtype">float</span>* x, uint8_t* code) <span class="keyword">const</span> <span class="keyword">final</span> {</div>
<div class="line"><a name="l00401"></a><span class="lineno">  401</span>&#160;        <span class="keywordflow">for</span> (<span class="keywordtype">size_t</span> i = 0; i &lt; d; i++) {</div>
<div class="line"><a name="l00402"></a><span class="lineno">  402</span>&#160;            <span class="keywordtype">float</span> xi = (x[i] - vmin[i]) / vdiff[i];</div>
<div class="line"><a name="l00403"></a><span class="lineno">  403</span>&#160;            <span class="keywordflow">if</span> (xi &lt; 0)</div>
<div class="line"><a name="l00404"></a><span class="lineno">  404</span>&#160;                xi = 0;</div>
<div class="line"><a name="l00405"></a><span class="lineno">  405</span>&#160;            <span class="keywordflow">if</span> (xi &gt; 1.0)</div>
<div class="line"><a name="l00406"></a><span class="lineno">  406</span>&#160;                xi = 1.0;</div>
<div class="line"><a name="l00407"></a><span class="lineno">  407</span>&#160;            Codec::encode_component(xi, code, i);</div>
<div class="line"><a name="l00408"></a><span class="lineno">  408</span>&#160;        }</div>
<div class="line"><a name="l00409"></a><span class="lineno">  409</span>&#160;    }</div>
<div class="line"><a name="l00410"></a><span class="lineno">  410</span>&#160;</div>
<div class="line"><a name="l00411"></a><span class="lineno">  411</span>&#160;    <span class="keywordtype">void</span> decode_vector(<span class="keyword">const</span> uint8_t* code, <span class="keywordtype">float</span>* x) <span class="keyword">const</span> <span class="keyword">final</span> {</div>
<div class="line"><a name="l00412"></a><span class="lineno">  412</span>&#160;        <span class="keywordflow">for</span> (<span class="keywordtype">size_t</span> i = 0; i &lt; d; i++) {</div>
<div class="line"><a name="l00413"></a><span class="lineno">  413</span>&#160;            <span class="keywordtype">float</span> xi = Codec::decode_component(code, i);</div>
<div class="line"><a name="l00414"></a><span class="lineno">  414</span>&#160;            x[i] = vmin[i] + xi * vdiff[i];</div>
<div class="line"><a name="l00415"></a><span class="lineno">  415</span>&#160;        }</div>
<div class="line"><a name="l00416"></a><span class="lineno">  416</span>&#160;    }</div>
<div class="line"><a name="l00417"></a><span class="lineno">  417</span>&#160;</div>
<div class="line"><a name="l00418"></a><span class="lineno">  418</span>&#160;    <span class="keywordtype">float</span> reconstruct_component (<span class="keyword">const</span> uint8_t * code, <span class="keywordtype">int</span> i)<span class="keyword"> const</span></div>
<div class="line"><a name="l00419"></a><span class="lineno">  419</span>&#160;<span class="keyword">    </span>{</div>
<div class="line"><a name="l00420"></a><span class="lineno">  420</span>&#160;        <span class="keywordtype">float</span> xi = Codec::decode_component (code, i);</div>
<div class="line"><a name="l00421"></a><span class="lineno">  421</span>&#160;        <span class="keywordflow">return</span> vmin[i] + xi * vdiff[i];</div>
<div class="line"><a name="l00422"></a><span class="lineno">  422</span>&#160;    }</div>
<div class="line"><a name="l00423"></a><span class="lineno">  423</span>&#160;</div>
<div class="line"><a name="l00424"></a><span class="lineno">  424</span>&#160;};</div>
<div class="line"><a name="l00425"></a><span class="lineno">  425</span>&#160;</div>
<div class="line"><a name="l00426"></a><span class="lineno">  426</span>&#160;</div>
<div class="line"><a name="l00427"></a><span class="lineno">  427</span>&#160;<span class="preprocessor">#ifdef USE_AVX</span></div>
<div class="line"><a name="l00428"></a><span class="lineno">  428</span>&#160;<span class="preprocessor"></span></div>
<div class="line"><a name="l00429"></a><span class="lineno">  429</span>&#160;<span class="keyword">template</span>&lt;<span class="keyword">class</span> Codec&gt;</div>
<div class="line"><a name="l00430"></a><span class="lineno">  430</span>&#160;<span class="keyword">struct </span>QuantizerTemplate&lt;Codec, false, 8&gt;: QuantizerTemplate&lt;Codec, false, 1&gt; {</div>
<div class="line"><a name="l00431"></a><span class="lineno">  431</span>&#160;</div>
<div class="line"><a name="l00432"></a><span class="lineno">  432</span>&#160;    QuantizerTemplate (<span class="keywordtype">size_t</span> d, <span class="keyword">const</span> std::vector&lt;float&gt; &amp;trained):</div>
<div class="line"><a name="l00433"></a><span class="lineno">  433</span>&#160;        QuantizerTemplate&lt;Codec, false, 1&gt; (d, trained) {}</div>
<div class="line"><a name="l00434"></a><span class="lineno">  434</span>&#160;</div>
<div class="line"><a name="l00435"></a><span class="lineno">  435</span>&#160;    __m256 reconstruct_8_components (<span class="keyword">const</span> uint8_t * code, <span class="keywordtype">int</span> i)<span class="keyword"> const</span></div>
<div class="line"><a name="l00436"></a><span class="lineno">  436</span>&#160;<span class="keyword">    </span>{</div>
<div class="line"><a name="l00437"></a><span class="lineno">  437</span>&#160;        __m256 xi = Codec::decode_8_components (code, i);</div>
<div class="line"><a name="l00438"></a><span class="lineno">  438</span>&#160;        <span class="keywordflow">return</span> _mm256_loadu_ps (this-&gt;vmin + i) + xi * _mm256_loadu_ps (this-&gt;vdiff + i);</div>
<div class="line"><a name="l00439"></a><span class="lineno">  439</span>&#160;    }</div>
<div class="line"><a name="l00440"></a><span class="lineno">  440</span>&#160;</div>
<div class="line"><a name="l00441"></a><span class="lineno">  441</span>&#160;</div>
<div class="line"><a name="l00442"></a><span class="lineno">  442</span>&#160;};</div>
<div class="line"><a name="l00443"></a><span class="lineno">  443</span>&#160;</div>
<div class="line"><a name="l00444"></a><span class="lineno">  444</span>&#160;<span class="preprocessor">#endif</span></div>
<div class="line"><a name="l00445"></a><span class="lineno">  445</span>&#160;<span class="preprocessor"></span></div>
<div class="line"><a name="l00446"></a><span class="lineno">  446</span>&#160;<span class="comment">/*******************************************************************</span></div>
<div class="line"><a name="l00447"></a><span class="lineno">  447</span>&#160;<span class="comment"> * FP16 quantizer</span></div>
<div class="line"><a name="l00448"></a><span class="lineno">  448</span>&#160;<span class="comment"> *******************************************************************/</span></div>
<div class="line"><a name="l00449"></a><span class="lineno">  449</span>&#160;</div>
<div class="line"><a name="l00450"></a><span class="lineno">  450</span>&#160;<span class="keyword">template</span>&lt;<span class="keywordtype">int</span> SIMDWIDTH&gt;</div>
<div class="line"><a name="l00451"></a><span class="lineno">  451</span>&#160;<span class="keyword">struct </span>QuantizerFP16 {};</div>
<div class="line"><a name="l00452"></a><span class="lineno">  452</span>&#160;</div>
<div class="line"><a name="l00453"></a><span class="lineno">  453</span>&#160;<span class="keyword">template</span>&lt;&gt;</div>
<div class="line"><a name="l00454"></a><span class="lineno">  454</span>&#160;<span class="keyword">struct </span>QuantizerFP16&lt;1&gt;: Quantizer {</div>
<div class="line"><a name="l00455"></a><span class="lineno">  455</span>&#160;    <span class="keyword">const</span> <span class="keywordtype">size_t</span> d;</div>
<div class="line"><a name="l00456"></a><span class="lineno">  456</span>&#160;</div>
<div class="line"><a name="l00457"></a><span class="lineno">  457</span>&#160;    QuantizerFP16(<span class="keywordtype">size_t</span> d, <span class="keyword">const</span> std::vector&lt;float&gt; &amp; <span class="comment">/* unused */</span>):</div>
<div class="line"><a name="l00458"></a><span class="lineno">  458</span>&#160;        d(d) {}</div>
<div class="line"><a name="l00459"></a><span class="lineno">  459</span>&#160;</div>
<div class="line"><a name="l00460"></a><span class="lineno">  460</span>&#160;    <span class="keywordtype">void</span> encode_vector(<span class="keyword">const</span> <span class="keywordtype">float</span>* x, uint8_t* code) <span class="keyword">const</span> <span class="keyword">final</span> {</div>
<div class="line"><a name="l00461"></a><span class="lineno">  461</span>&#160;        <span class="keywordflow">for</span> (<span class="keywordtype">size_t</span> i = 0; i &lt; d; i++) {</div>
<div class="line"><a name="l00462"></a><span class="lineno">  462</span>&#160;            ((uint16_t*)code)[i] = encode_fp16(x[i]);</div>
<div class="line"><a name="l00463"></a><span class="lineno">  463</span>&#160;        }</div>
<div class="line"><a name="l00464"></a><span class="lineno">  464</span>&#160;    }</div>
<div class="line"><a name="l00465"></a><span class="lineno">  465</span>&#160;</div>
<div class="line"><a name="l00466"></a><span class="lineno">  466</span>&#160;    <span class="keywordtype">void</span> decode_vector(<span class="keyword">const</span> uint8_t* code, <span class="keywordtype">float</span>* x) <span class="keyword">const</span> <span class="keyword">final</span> {</div>
<div class="line"><a name="l00467"></a><span class="lineno">  467</span>&#160;        <span class="keywordflow">for</span> (<span class="keywordtype">size_t</span> i = 0; i &lt; d; i++) {</div>
<div class="line"><a name="l00468"></a><span class="lineno">  468</span>&#160;            x[i] = decode_fp16(((uint16_t*)code)[i]);</div>
<div class="line"><a name="l00469"></a><span class="lineno">  469</span>&#160;        }</div>
<div class="line"><a name="l00470"></a><span class="lineno">  470</span>&#160;    }</div>
<div class="line"><a name="l00471"></a><span class="lineno">  471</span>&#160;</div>
<div class="line"><a name="l00472"></a><span class="lineno">  472</span>&#160;    <span class="keywordtype">float</span> reconstruct_component (<span class="keyword">const</span> uint8_t * code, <span class="keywordtype">int</span> i)<span class="keyword"> const</span></div>
<div class="line"><a name="l00473"></a><span class="lineno">  473</span>&#160;<span class="keyword">    </span>{</div>
<div class="line"><a name="l00474"></a><span class="lineno">  474</span>&#160;        <span class="keywordflow">return</span> decode_fp16(((uint16_t*)code)[i]);</div>
<div class="line"><a name="l00475"></a><span class="lineno">  475</span>&#160;    }</div>
<div class="line"><a name="l00476"></a><span class="lineno">  476</span>&#160;</div>
<div class="line"><a name="l00477"></a><span class="lineno">  477</span>&#160;};</div>
<div class="line"><a name="l00478"></a><span class="lineno">  478</span>&#160;</div>
<div class="line"><a name="l00479"></a><span class="lineno">  479</span>&#160;<span class="preprocessor">#ifdef USE_AVX</span></div>
<div class="line"><a name="l00480"></a><span class="lineno">  480</span>&#160;<span class="preprocessor"></span></div>
<div class="line"><a name="l00481"></a><span class="lineno">  481</span>&#160;<span class="keyword">template</span>&lt;&gt;</div>
<div class="line"><a name="l00482"></a><span class="lineno">  482</span>&#160;<span class="keyword">struct </span>QuantizerFP16&lt;8&gt;: QuantizerFP16&lt;1&gt; {</div>
<div class="line"><a name="l00483"></a><span class="lineno">  483</span>&#160;</div>
<div class="line"><a name="l00484"></a><span class="lineno">  484</span>&#160;    QuantizerFP16 (<span class="keywordtype">size_t</span> d, <span class="keyword">const</span> std::vector&lt;float&gt; &amp;trained):</div>
<div class="line"><a name="l00485"></a><span class="lineno">  485</span>&#160;        QuantizerFP16&lt;1&gt; (d, trained) {}</div>
<div class="line"><a name="l00486"></a><span class="lineno">  486</span>&#160;</div>
<div class="line"><a name="l00487"></a><span class="lineno">  487</span>&#160;    __m256 reconstruct_8_components (<span class="keyword">const</span> uint8_t * code, <span class="keywordtype">int</span> i)<span class="keyword"> const</span></div>
<div class="line"><a name="l00488"></a><span class="lineno">  488</span>&#160;<span class="keyword">    </span>{</div>
<div class="line"><a name="l00489"></a><span class="lineno">  489</span>&#160;        __m128i codei = _mm_loadu_si128 ((<span class="keyword">const</span> __m128i*)(code + 2 * i));</div>
<div class="line"><a name="l00490"></a><span class="lineno">  490</span>&#160;        <span class="keywordflow">return</span> _mm256_cvtph_ps (codei);</div>
<div class="line"><a name="l00491"></a><span class="lineno">  491</span>&#160;    }</div>
<div class="line"><a name="l00492"></a><span class="lineno">  492</span>&#160;</div>
<div class="line"><a name="l00493"></a><span class="lineno">  493</span>&#160;};</div>
<div class="line"><a name="l00494"></a><span class="lineno">  494</span>&#160;</div>
<div class="line"><a name="l00495"></a><span class="lineno">  495</span>&#160;<span class="preprocessor">#endif</span></div>
<div class="line"><a name="l00496"></a><span class="lineno">  496</span>&#160;<span class="preprocessor"></span></div>
<div class="line"><a name="l00497"></a><span class="lineno">  497</span>&#160;<span class="comment">/*******************************************************************</span></div>
<div class="line"><a name="l00498"></a><span class="lineno">  498</span>&#160;<span class="comment"> * 8bit_direct quantizer</span></div>
<div class="line"><a name="l00499"></a><span class="lineno">  499</span>&#160;<span class="comment"> *******************************************************************/</span></div>
<div class="line"><a name="l00500"></a><span class="lineno">  500</span>&#160;</div>
<div class="line"><a name="l00501"></a><span class="lineno">  501</span>&#160;<span class="keyword">template</span>&lt;<span class="keywordtype">int</span> SIMDWIDTH&gt;</div>
<div class="line"><a name="l00502"></a><span class="lineno">  502</span>&#160;<span class="keyword">struct </span>Quantizer8bitDirect {};</div>
<div class="line"><a name="l00503"></a><span class="lineno">  503</span>&#160;</div>
<div class="line"><a name="l00504"></a><span class="lineno">  504</span>&#160;<span class="keyword">template</span>&lt;&gt;</div>
<div class="line"><a name="l00505"></a><span class="lineno">  505</span>&#160;<span class="keyword">struct </span>Quantizer8bitDirect&lt;1&gt;: Quantizer {</div>
<div class="line"><a name="l00506"></a><span class="lineno">  506</span>&#160;    <span class="keyword">const</span> <span class="keywordtype">size_t</span> d;</div>
<div class="line"><a name="l00507"></a><span class="lineno">  507</span>&#160;</div>
<div class="line"><a name="l00508"></a><span class="lineno">  508</span>&#160;    Quantizer8bitDirect(<span class="keywordtype">size_t</span> d, <span class="keyword">const</span> std::vector&lt;float&gt; &amp; <span class="comment">/* unused */</span>):</div>
<div class="line"><a name="l00509"></a><span class="lineno">  509</span>&#160;        d(d) {}</div>
<div class="line"><a name="l00510"></a><span class="lineno">  510</span>&#160;</div>
<div class="line"><a name="l00511"></a><span class="lineno">  511</span>&#160;</div>
<div class="line"><a name="l00512"></a><span class="lineno">  512</span>&#160;    <span class="keywordtype">void</span> encode_vector(<span class="keyword">const</span> <span class="keywordtype">float</span>* x, uint8_t* code) <span class="keyword">const</span> <span class="keyword">final</span> {</div>
<div class="line"><a name="l00513"></a><span class="lineno">  513</span>&#160;        <span class="keywordflow">for</span> (<span class="keywordtype">size_t</span> i = 0; i &lt; d; i++) {</div>
<div class="line"><a name="l00514"></a><span class="lineno">  514</span>&#160;            code[i] = (uint8_t)x[i];</div>
<div class="line"><a name="l00515"></a><span class="lineno">  515</span>&#160;        }</div>
<div class="line"><a name="l00516"></a><span class="lineno">  516</span>&#160;    }</div>
<div class="line"><a name="l00517"></a><span class="lineno">  517</span>&#160;</div>
<div class="line"><a name="l00518"></a><span class="lineno">  518</span>&#160;    <span class="keywordtype">void</span> decode_vector(<span class="keyword">const</span> uint8_t* code, <span class="keywordtype">float</span>* x) <span class="keyword">const</span> <span class="keyword">final</span> {</div>
<div class="line"><a name="l00519"></a><span class="lineno">  519</span>&#160;        <span class="keywordflow">for</span> (<span class="keywordtype">size_t</span> i = 0; i &lt; d; i++) {</div>
<div class="line"><a name="l00520"></a><span class="lineno">  520</span>&#160;            x[i] = code[i];</div>
<div class="line"><a name="l00521"></a><span class="lineno">  521</span>&#160;        }</div>
<div class="line"><a name="l00522"></a><span class="lineno">  522</span>&#160;    }</div>
<div class="line"><a name="l00523"></a><span class="lineno">  523</span>&#160;</div>
<div class="line"><a name="l00524"></a><span class="lineno">  524</span>&#160;    <span class="keywordtype">float</span> reconstruct_component (<span class="keyword">const</span> uint8_t * code, <span class="keywordtype">int</span> i)<span class="keyword"> const</span></div>
<div class="line"><a name="l00525"></a><span class="lineno">  525</span>&#160;<span class="keyword">    </span>{</div>
<div class="line"><a name="l00526"></a><span class="lineno">  526</span>&#160;        <span class="keywordflow">return</span> code[i];</div>
<div class="line"><a name="l00527"></a><span class="lineno">  527</span>&#160;    }</div>
<div class="line"><a name="l00528"></a><span class="lineno">  528</span>&#160;</div>
<div class="line"><a name="l00529"></a><span class="lineno">  529</span>&#160;};</div>
<div class="line"><a name="l00530"></a><span class="lineno">  530</span>&#160;</div>
<div class="line"><a name="l00531"></a><span class="lineno">  531</span>&#160;<span class="preprocessor">#ifdef USE_AVX</span></div>
<div class="line"><a name="l00532"></a><span class="lineno">  532</span>&#160;<span class="preprocessor"></span></div>
<div class="line"><a name="l00533"></a><span class="lineno">  533</span>&#160;<span class="keyword">template</span>&lt;&gt;</div>
<div class="line"><a name="l00534"></a><span class="lineno">  534</span>&#160;<span class="keyword">struct </span>Quantizer8bitDirect&lt;8&gt;: Quantizer8bitDirect&lt;1&gt; {</div>
<div class="line"><a name="l00535"></a><span class="lineno">  535</span>&#160;</div>
<div class="line"><a name="l00536"></a><span class="lineno">  536</span>&#160;    Quantizer8bitDirect (<span class="keywordtype">size_t</span> d, <span class="keyword">const</span> std::vector&lt;float&gt; &amp;trained):</div>
<div class="line"><a name="l00537"></a><span class="lineno">  537</span>&#160;        Quantizer8bitDirect&lt;1&gt; (d, trained) {}</div>
<div class="line"><a name="l00538"></a><span class="lineno">  538</span>&#160;</div>
<div class="line"><a name="l00539"></a><span class="lineno">  539</span>&#160;    __m256 reconstruct_8_components (<span class="keyword">const</span> uint8_t * code, <span class="keywordtype">int</span> i)<span class="keyword"> const</span></div>
<div class="line"><a name="l00540"></a><span class="lineno">  540</span>&#160;<span class="keyword">    </span>{</div>
<div class="line"><a name="l00541"></a><span class="lineno">  541</span>&#160;        __m128i x8 = _mm_loadl_epi64((__m128i*)(code + i)); <span class="comment">// 8 * int8</span></div>
<div class="line"><a name="l00542"></a><span class="lineno">  542</span>&#160;        __m256i y8 = _mm256_cvtepu8_epi32 (x8);  <span class="comment">// 8 * int32</span></div>
<div class="line"><a name="l00543"></a><span class="lineno">  543</span>&#160;        <span class="keywordflow">return</span> _mm256_cvtepi32_ps (y8); <span class="comment">// 8 * float32</span></div>
<div class="line"><a name="l00544"></a><span class="lineno">  544</span>&#160;    }</div>
<div class="line"><a name="l00545"></a><span class="lineno">  545</span>&#160;</div>
<div class="line"><a name="l00546"></a><span class="lineno">  546</span>&#160;};</div>
<div class="line"><a name="l00547"></a><span class="lineno">  547</span>&#160;</div>
<div class="line"><a name="l00548"></a><span class="lineno">  548</span>&#160;<span class="preprocessor">#endif</span></div>
<div class="line"><a name="l00549"></a><span class="lineno">  549</span>&#160;<span class="preprocessor"></span></div>
<div class="line"><a name="l00550"></a><span class="lineno">  550</span>&#160;</div>
<div class="line"><a name="l00551"></a><span class="lineno">  551</span>&#160;<span class="keyword">template</span>&lt;<span class="keywordtype">int</span> SIMDWIDTH&gt;</div>
<div class="line"><a name="l00552"></a><span class="lineno">  552</span>&#160;Quantizer *select_quantizer (</div>
<div class="line"><a name="l00553"></a><span class="lineno">  553</span>&#160;          QuantizerType qtype,</div>
<div class="line"><a name="l00554"></a><span class="lineno">  554</span>&#160;          <span class="keywordtype">size_t</span> d, <span class="keyword">const</span> std::vector&lt;float&gt; &amp; trained)</div>
<div class="line"><a name="l00555"></a><span class="lineno">  555</span>&#160;{</div>
<div class="line"><a name="l00556"></a><span class="lineno">  556</span>&#160;    <span class="keywordflow">switch</span>(qtype) {</div>
<div class="line"><a name="l00557"></a><span class="lineno">  557</span>&#160;    <span class="keywordflow">case</span> <a class="code" href="structfaiss_1_1ScalarQuantizer.html#a1201dbd1611fa5c10782ade5d0e4952ea1650389e3efa052ff60177d502328a2c">ScalarQuantizer::QT_8bit</a>:</div>
<div class="line"><a name="l00558"></a><span class="lineno">  558</span>&#160;        <span class="keywordflow">return</span> <span class="keyword">new</span> QuantizerTemplate&lt;Codec8bit, false, SIMDWIDTH&gt;(d, trained);</div>
<div class="line"><a name="l00559"></a><span class="lineno">  559</span>&#160;    <span class="keywordflow">case</span> <a class="code" href="structfaiss_1_1ScalarQuantizer.html#a1201dbd1611fa5c10782ade5d0e4952eaf654ce120baf92b9ac3c43592744fbf8">ScalarQuantizer::QT_6bit</a>:</div>
<div class="line"><a name="l00560"></a><span class="lineno">  560</span>&#160;        <span class="keywordflow">return</span> <span class="keyword">new</span> QuantizerTemplate&lt;Codec6bit, false, SIMDWIDTH&gt;(d, trained);</div>
<div class="line"><a name="l00561"></a><span class="lineno">  561</span>&#160;    <span class="keywordflow">case</span> <a class="code" href="structfaiss_1_1ScalarQuantizer.html#a1201dbd1611fa5c10782ade5d0e4952eacd3d1bd71533a7bc52149e4b3d1db13b">ScalarQuantizer::QT_4bit</a>:</div>
<div class="line"><a name="l00562"></a><span class="lineno">  562</span>&#160;        <span class="keywordflow">return</span> <span class="keyword">new</span> QuantizerTemplate&lt;Codec4bit, false, SIMDWIDTH&gt;(d, trained);</div>
<div class="line"><a name="l00563"></a><span class="lineno">  563</span>&#160;    <span class="keywordflow">case</span> <a class="code" href="structfaiss_1_1ScalarQuantizer.html#a1201dbd1611fa5c10782ade5d0e4952ea029f07a15ea64e7e73daaf9633ac429a">ScalarQuantizer::QT_8bit_uniform</a>:</div>
<div class="line"><a name="l00564"></a><span class="lineno">  564</span>&#160;        <span class="keywordflow">return</span> <span class="keyword">new</span> QuantizerTemplate&lt;Codec8bit, true, SIMDWIDTH&gt;(d, trained);</div>
<div class="line"><a name="l00565"></a><span class="lineno">  565</span>&#160;    <span class="keywordflow">case</span> ScalarQuantizer::QT_4bit_uniform:</div>
<div class="line"><a name="l00566"></a><span class="lineno">  566</span>&#160;        <span class="keywordflow">return</span> <span class="keyword">new</span> QuantizerTemplate&lt;Codec4bit, true, SIMDWIDTH&gt;(d, trained);</div>
<div class="line"><a name="l00567"></a><span class="lineno">  567</span>&#160;    <span class="keywordflow">case</span> ScalarQuantizer::QT_fp16:</div>
<div class="line"><a name="l00568"></a><span class="lineno">  568</span>&#160;        <span class="keywordflow">return</span> <span class="keyword">new</span> QuantizerFP16&lt;SIMDWIDTH&gt; (d, trained);</div>
<div class="line"><a name="l00569"></a><span class="lineno">  569</span>&#160;    <span class="keywordflow">case</span> ScalarQuantizer::QT_8bit_direct:</div>
<div class="line"><a name="l00570"></a><span class="lineno">  570</span>&#160;        <span class="keywordflow">return</span> <span class="keyword">new</span> Quantizer8bitDirect&lt;SIMDWIDTH&gt; (d, trained);</div>
<div class="line"><a name="l00571"></a><span class="lineno">  571</span>&#160;    }</div>
<div class="line"><a name="l00572"></a><span class="lineno">  572</span>&#160;    FAISS_THROW_MSG (<span class="stringliteral">&quot;unknown qtype&quot;</span>);</div>
<div class="line"><a name="l00573"></a><span class="lineno">  573</span>&#160;}</div>
<div class="line"><a name="l00574"></a><span class="lineno">  574</span>&#160;</div>
<div class="line"><a name="l00575"></a><span class="lineno">  575</span>&#160;</div>
<div class="line"><a name="l00576"></a><span class="lineno">  576</span>&#160;</div>
<div class="line"><a name="l00577"></a><span class="lineno">  577</span>&#160;Quantizer *select_quantizer (<span class="keyword">const</span> ScalarQuantizer &amp;sq)</div>
<div class="line"><a name="l00578"></a><span class="lineno">  578</span>&#160;{</div>
<div class="line"><a name="l00579"></a><span class="lineno">  579</span>&#160;<span class="preprocessor">#ifdef USE_AVX</span></div>
<div class="line"><a name="l00580"></a><span class="lineno">  580</span>&#160;<span class="preprocessor"></span>    <span class="keywordflow">if</span> (sq.d % 8 == 0) {</div>
<div class="line"><a name="l00581"></a><span class="lineno">  581</span>&#160;        <span class="keywordflow">return</span> select_quantizer&lt;8&gt; (sq.qtype, sq.d, sq.trained);</div>
<div class="line"><a name="l00582"></a><span class="lineno">  582</span>&#160;    } <span class="keywordflow">else</span></div>
<div class="line"><a name="l00583"></a><span class="lineno">  583</span>&#160;<span class="preprocessor">#endif</span></div>
<div class="line"><a name="l00584"></a><span class="lineno">  584</span>&#160;<span class="preprocessor"></span>    {</div>
<div class="line"><a name="l00585"></a><span class="lineno">  585</span>&#160;        <span class="keywordflow">return</span> select_quantizer&lt;1&gt; (sq.qtype, sq.d, sq.trained);</div>
<div class="line"><a name="l00586"></a><span class="lineno">  586</span>&#160;    }</div>
<div class="line"><a name="l00587"></a><span class="lineno">  587</span>&#160;}</div>
<div class="line"><a name="l00588"></a><span class="lineno">  588</span>&#160;</div>
<div class="line"><a name="l00589"></a><span class="lineno">  589</span>&#160;</div>
<div class="line"><a name="l00590"></a><span class="lineno">  590</span>&#160;</div>
<div class="line"><a name="l00591"></a><span class="lineno">  591</span>&#160;</div>
<div class="line"><a name="l00592"></a><span class="lineno">  592</span>&#160;<span class="comment">/*******************************************************************</span></div>
<div class="line"><a name="l00593"></a><span class="lineno">  593</span>&#160;<span class="comment"> * Quantizer range training</span></div>
<div class="line"><a name="l00594"></a><span class="lineno">  594</span>&#160;<span class="comment"> */</span></div>
<div class="line"><a name="l00595"></a><span class="lineno">  595</span>&#160;</div>
<div class="line"><a name="l00596"></a><span class="lineno">  596</span>&#160;<span class="keyword">static</span> <span class="keywordtype">float</span> sqr (<span class="keywordtype">float</span> x) {</div>
<div class="line"><a name="l00597"></a><span class="lineno">  597</span>&#160;    <span class="keywordflow">return</span> x * x;</div>
<div class="line"><a name="l00598"></a><span class="lineno">  598</span>&#160;}</div>
<div class="line"><a name="l00599"></a><span class="lineno">  599</span>&#160;</div>
<div class="line"><a name="l00600"></a><span class="lineno">  600</span>&#160;</div>
<div class="line"><a name="l00601"></a><span class="lineno">  601</span>&#160;<span class="keywordtype">void</span> train_Uniform(RangeStat rs, <span class="keywordtype">float</span> rs_arg,</div>
<div class="line"><a name="l00602"></a><span class="lineno">  602</span>&#160;                   idx_t n, <span class="keywordtype">int</span> k, <span class="keyword">const</span> <span class="keywordtype">float</span> *x,</div>
<div class="line"><a name="l00603"></a><span class="lineno">  603</span>&#160;                   std::vector&lt;float&gt; &amp; trained)</div>
<div class="line"><a name="l00604"></a><span class="lineno">  604</span>&#160;{</div>
<div class="line"><a name="l00605"></a><span class="lineno">  605</span>&#160;    trained.resize (2);</div>
<div class="line"><a name="l00606"></a><span class="lineno">  606</span>&#160;    <span class="keywordtype">float</span> &amp; vmin = trained[0];</div>
<div class="line"><a name="l00607"></a><span class="lineno">  607</span>&#160;    <span class="keywordtype">float</span> &amp; vmax = trained[1];</div>
<div class="line"><a name="l00608"></a><span class="lineno">  608</span>&#160;</div>
<div class="line"><a name="l00609"></a><span class="lineno">  609</span>&#160;    <span class="keywordflow">if</span> (rs == <a class="code" href="structfaiss_1_1ScalarQuantizer.html#a867ad0000e4ccfd40bbb1e01e7882d06aa52f2f14616c61c04baf6323d43588fd">ScalarQuantizer::RS_minmax</a>) {</div>
<div class="line"><a name="l00610"></a><span class="lineno">  610</span>&#160;        vmin = HUGE_VAL; vmax = -HUGE_VAL;</div>
<div class="line"><a name="l00611"></a><span class="lineno">  611</span>&#160;        <span class="keywordflow">for</span> (<span class="keywordtype">size_t</span> i = 0; i &lt; n; i++) {</div>
<div class="line"><a name="l00612"></a><span class="lineno">  612</span>&#160;            <span class="keywordflow">if</span> (x[i] &lt; vmin) vmin = x[i];</div>
<div class="line"><a name="l00613"></a><span class="lineno">  613</span>&#160;            <span class="keywordflow">if</span> (x[i] &gt; vmax) vmax = x[i];</div>
<div class="line"><a name="l00614"></a><span class="lineno">  614</span>&#160;        }</div>
<div class="line"><a name="l00615"></a><span class="lineno">  615</span>&#160;        <span class="keywordtype">float</span> vexp = (vmax - vmin) * rs_arg;</div>
<div class="line"><a name="l00616"></a><span class="lineno">  616</span>&#160;        vmin -= vexp;</div>
<div class="line"><a name="l00617"></a><span class="lineno">  617</span>&#160;        vmax += vexp;</div>
<div class="line"><a name="l00618"></a><span class="lineno">  618</span>&#160;    } <span class="keywordflow">else</span> <span class="keywordflow">if</span> (rs == <a class="code" href="structfaiss_1_1ScalarQuantizer.html#a867ad0000e4ccfd40bbb1e01e7882d06afb4b9f4ee9003fa0193e6de69632f7a0">ScalarQuantizer::RS_meanstd</a>) {</div>
<div class="line"><a name="l00619"></a><span class="lineno">  619</span>&#160;        <span class="keywordtype">double</span> sum = 0, sum2 = 0;</div>
<div class="line"><a name="l00620"></a><span class="lineno">  620</span>&#160;        <span class="keywordflow">for</span> (<span class="keywordtype">size_t</span> i = 0; i &lt; n; i++) {</div>
<div class="line"><a name="l00621"></a><span class="lineno">  621</span>&#160;            sum += x[i];</div>
<div class="line"><a name="l00622"></a><span class="lineno">  622</span>&#160;            sum2 += x[i] * x[i];</div>
<div class="line"><a name="l00623"></a><span class="lineno">  623</span>&#160;        }</div>
<div class="line"><a name="l00624"></a><span class="lineno">  624</span>&#160;        <span class="keywordtype">float</span> mean = sum / n;</div>
<div class="line"><a name="l00625"></a><span class="lineno">  625</span>&#160;        <span class="keywordtype">float</span> var = sum2 / n - mean * mean;</div>
<div class="line"><a name="l00626"></a><span class="lineno">  626</span>&#160;        <span class="keywordtype">float</span> std = var &lt;= 0 ? 1.0 : sqrt(var);</div>
<div class="line"><a name="l00627"></a><span class="lineno">  627</span>&#160;</div>
<div class="line"><a name="l00628"></a><span class="lineno">  628</span>&#160;        vmin = mean - std * rs_arg ;</div>
<div class="line"><a name="l00629"></a><span class="lineno">  629</span>&#160;        vmax = mean + std * rs_arg ;</div>
<div class="line"><a name="l00630"></a><span class="lineno">  630</span>&#160;    } <span class="keywordflow">else</span> <span class="keywordflow">if</span> (rs == <a class="code" href="structfaiss_1_1ScalarQuantizer.html#a867ad0000e4ccfd40bbb1e01e7882d06ae41cccec3a7acbcb3a47fa63c2bfb4c8">ScalarQuantizer::RS_quantiles</a>) {</div>
<div class="line"><a name="l00631"></a><span class="lineno">  631</span>&#160;        std::vector&lt;float&gt; x_copy(n);</div>
<div class="line"><a name="l00632"></a><span class="lineno">  632</span>&#160;        memcpy(x_copy.data(), x, n * <span class="keyword">sizeof</span>(*x));</div>
<div class="line"><a name="l00633"></a><span class="lineno">  633</span>&#160;        <span class="comment">// TODO just do a qucikselect</span></div>
<div class="line"><a name="l00634"></a><span class="lineno">  634</span>&#160;        std::sort(x_copy.begin(), x_copy.end());</div>
<div class="line"><a name="l00635"></a><span class="lineno">  635</span>&#160;        <span class="keywordtype">int</span> o = int(rs_arg * n);</div>
<div class="line"><a name="l00636"></a><span class="lineno">  636</span>&#160;        <span class="keywordflow">if</span> (o &lt; 0) o = 0;</div>
<div class="line"><a name="l00637"></a><span class="lineno">  637</span>&#160;        <span class="keywordflow">if</span> (o &gt; n - o) o = n / 2;</div>
<div class="line"><a name="l00638"></a><span class="lineno">  638</span>&#160;        vmin = x_copy[o];</div>
<div class="line"><a name="l00639"></a><span class="lineno">  639</span>&#160;        vmax = x_copy[n - 1 - o];</div>
<div class="line"><a name="l00640"></a><span class="lineno">  640</span>&#160;</div>
<div class="line"><a name="l00641"></a><span class="lineno">  641</span>&#160;    } <span class="keywordflow">else</span> <span class="keywordflow">if</span> (rs == <a class="code" href="structfaiss_1_1ScalarQuantizer.html#a867ad0000e4ccfd40bbb1e01e7882d06ab0709ff74c1b882b64a7fdd7ca5df9a3">ScalarQuantizer::RS_optim</a>) {</div>
<div class="line"><a name="l00642"></a><span class="lineno">  642</span>&#160;        <span class="keywordtype">float</span> a, b;</div>
<div class="line"><a name="l00643"></a><span class="lineno">  643</span>&#160;        <span class="keywordtype">float</span> sx = 0;</div>
<div class="line"><a name="l00644"></a><span class="lineno">  644</span>&#160;        {</div>
<div class="line"><a name="l00645"></a><span class="lineno">  645</span>&#160;            vmin = HUGE_VAL, vmax = -HUGE_VAL;</div>
<div class="line"><a name="l00646"></a><span class="lineno">  646</span>&#160;            <span class="keywordflow">for</span> (<span class="keywordtype">size_t</span> i = 0; i &lt; n; i++) {</div>
<div class="line"><a name="l00647"></a><span class="lineno">  647</span>&#160;                <span class="keywordflow">if</span> (x[i] &lt; vmin) vmin = x[i];</div>
<div class="line"><a name="l00648"></a><span class="lineno">  648</span>&#160;                <span class="keywordflow">if</span> (x[i] &gt; vmax) vmax = x[i];</div>
<div class="line"><a name="l00649"></a><span class="lineno">  649</span>&#160;                sx += x[i];</div>
<div class="line"><a name="l00650"></a><span class="lineno">  650</span>&#160;            }</div>
<div class="line"><a name="l00651"></a><span class="lineno">  651</span>&#160;            b = vmin;</div>
<div class="line"><a name="l00652"></a><span class="lineno">  652</span>&#160;            a = (vmax - vmin) / (k - 1);</div>
<div class="line"><a name="l00653"></a><span class="lineno">  653</span>&#160;        }</div>
<div class="line"><a name="l00654"></a><span class="lineno">  654</span>&#160;        <span class="keywordtype">int</span> verbose = <span class="keyword">false</span>;</div>
<div class="line"><a name="l00655"></a><span class="lineno">  655</span>&#160;        <span class="keywordtype">int</span> niter = 2000;</div>
<div class="line"><a name="l00656"></a><span class="lineno">  656</span>&#160;        <span class="keywordtype">float</span> last_err = -1;</div>
<div class="line"><a name="l00657"></a><span class="lineno">  657</span>&#160;        <span class="keywordtype">int</span> iter_last_err = 0;</div>
<div class="line"><a name="l00658"></a><span class="lineno">  658</span>&#160;        <span class="keywordflow">for</span> (<span class="keywordtype">int</span> it = 0; it &lt; niter; it++) {</div>
<div class="line"><a name="l00659"></a><span class="lineno">  659</span>&#160;            <span class="keywordtype">float</span> sn = 0, sn2 = 0, sxn = 0, err1 = 0;</div>
<div class="line"><a name="l00660"></a><span class="lineno">  660</span>&#160;</div>
<div class="line"><a name="l00661"></a><span class="lineno">  661</span>&#160;            <span class="keywordflow">for</span> (idx_t i = 0; i &lt; n; i++) {</div>
<div class="line"><a name="l00662"></a><span class="lineno">  662</span>&#160;                <span class="keywordtype">float</span> xi = x[i];</div>
<div class="line"><a name="l00663"></a><span class="lineno">  663</span>&#160;                <span class="keywordtype">float</span> ni = floor ((xi - b) / a + 0.5);</div>
<div class="line"><a name="l00664"></a><span class="lineno">  664</span>&#160;                <span class="keywordflow">if</span> (ni &lt; 0) ni = 0;</div>
<div class="line"><a name="l00665"></a><span class="lineno">  665</span>&#160;                <span class="keywordflow">if</span> (ni &gt;= k) ni = k - 1;</div>
<div class="line"><a name="l00666"></a><span class="lineno">  666</span>&#160;                err1 += sqr (xi - (ni * a + b));</div>
<div class="line"><a name="l00667"></a><span class="lineno">  667</span>&#160;                sn  += ni;</div>
<div class="line"><a name="l00668"></a><span class="lineno">  668</span>&#160;                sn2 += ni * ni;</div>
<div class="line"><a name="l00669"></a><span class="lineno">  669</span>&#160;                sxn += ni * xi;</div>
<div class="line"><a name="l00670"></a><span class="lineno">  670</span>&#160;            }</div>
<div class="line"><a name="l00671"></a><span class="lineno">  671</span>&#160;</div>
<div class="line"><a name="l00672"></a><span class="lineno">  672</span>&#160;            <span class="keywordflow">if</span> (err1 == last_err) {</div>
<div class="line"><a name="l00673"></a><span class="lineno">  673</span>&#160;                iter_last_err ++;</div>
<div class="line"><a name="l00674"></a><span class="lineno">  674</span>&#160;                <span class="keywordflow">if</span> (iter_last_err == 16) <span class="keywordflow">break</span>;</div>
<div class="line"><a name="l00675"></a><span class="lineno">  675</span>&#160;            } <span class="keywordflow">else</span> {</div>
<div class="line"><a name="l00676"></a><span class="lineno">  676</span>&#160;                last_err = err1;</div>
<div class="line"><a name="l00677"></a><span class="lineno">  677</span>&#160;                iter_last_err = 0;</div>
<div class="line"><a name="l00678"></a><span class="lineno">  678</span>&#160;            }</div>
<div class="line"><a name="l00679"></a><span class="lineno">  679</span>&#160;</div>
<div class="line"><a name="l00680"></a><span class="lineno">  680</span>&#160;            <span class="keywordtype">float</span> det = sqr (sn) - sn2 * n;</div>
<div class="line"><a name="l00681"></a><span class="lineno">  681</span>&#160;</div>
<div class="line"><a name="l00682"></a><span class="lineno">  682</span>&#160;            b = (sn * sxn - sn2 * sx) / det;</div>
<div class="line"><a name="l00683"></a><span class="lineno">  683</span>&#160;            a = (sn * sx - n * sxn) / det;</div>
<div class="line"><a name="l00684"></a><span class="lineno">  684</span>&#160;            <span class="keywordflow">if</span> (verbose) {</div>
<div class="line"><a name="l00685"></a><span class="lineno">  685</span>&#160;                printf (<span class="stringliteral">&quot;it %d, err1=%g            \r&quot;</span>, it, err1);</div>
<div class="line"><a name="l00686"></a><span class="lineno">  686</span>&#160;                fflush(stdout);</div>
<div class="line"><a name="l00687"></a><span class="lineno">  687</span>&#160;            }</div>
<div class="line"><a name="l00688"></a><span class="lineno">  688</span>&#160;        }</div>
<div class="line"><a name="l00689"></a><span class="lineno">  689</span>&#160;        <span class="keywordflow">if</span> (verbose) printf(<span class="stringliteral">&quot;\n&quot;</span>);</div>
<div class="line"><a name="l00690"></a><span class="lineno">  690</span>&#160;</div>
<div class="line"><a name="l00691"></a><span class="lineno">  691</span>&#160;        vmin = b;</div>
<div class="line"><a name="l00692"></a><span class="lineno">  692</span>&#160;        vmax = b + a * (k - 1);</div>
<div class="line"><a name="l00693"></a><span class="lineno">  693</span>&#160;</div>
<div class="line"><a name="l00694"></a><span class="lineno">  694</span>&#160;    } <span class="keywordflow">else</span> {</div>
<div class="line"><a name="l00695"></a><span class="lineno">  695</span>&#160;        FAISS_THROW_MSG (<span class="stringliteral">&quot;Invalid qtype&quot;</span>);</div>
<div class="line"><a name="l00696"></a><span class="lineno">  696</span>&#160;    }</div>
<div class="line"><a name="l00697"></a><span class="lineno">  697</span>&#160;    vmax -= vmin;</div>
<div class="line"><a name="l00698"></a><span class="lineno">  698</span>&#160;}</div>
<div class="line"><a name="l00699"></a><span class="lineno">  699</span>&#160;</div>
<div class="line"><a name="l00700"></a><span class="lineno">  700</span>&#160;<span class="keywordtype">void</span> train_NonUniform(RangeStat rs, <span class="keywordtype">float</span> rs_arg,</div>
<div class="line"><a name="l00701"></a><span class="lineno">  701</span>&#160;                      idx_t n, <span class="keywordtype">int</span> d, <span class="keywordtype">int</span> k, <span class="keyword">const</span> <span class="keywordtype">float</span> *x,</div>
<div class="line"><a name="l00702"></a><span class="lineno">  702</span>&#160;                      std::vector&lt;float&gt; &amp; trained)</div>
<div class="line"><a name="l00703"></a><span class="lineno">  703</span>&#160;{</div>
<div class="line"><a name="l00704"></a><span class="lineno">  704</span>&#160;</div>
<div class="line"><a name="l00705"></a><span class="lineno">  705</span>&#160;    trained.resize (2 * d);</div>
<div class="line"><a name="l00706"></a><span class="lineno">  706</span>&#160;    <span class="keywordtype">float</span> * vmin = trained.data();</div>
<div class="line"><a name="l00707"></a><span class="lineno">  707</span>&#160;    <span class="keywordtype">float</span> * vmax = trained.data() + d;</div>
<div class="line"><a name="l00708"></a><span class="lineno">  708</span>&#160;    <span class="keywordflow">if</span> (rs == <a class="code" href="structfaiss_1_1ScalarQuantizer.html#a867ad0000e4ccfd40bbb1e01e7882d06aa52f2f14616c61c04baf6323d43588fd">ScalarQuantizer::RS_minmax</a>) {</div>
<div class="line"><a name="l00709"></a><span class="lineno">  709</span>&#160;        memcpy (vmin, x, <span class="keyword">sizeof</span>(*x) * d);</div>
<div class="line"><a name="l00710"></a><span class="lineno">  710</span>&#160;        memcpy (vmax, x, <span class="keyword">sizeof</span>(*x) * d);</div>
<div class="line"><a name="l00711"></a><span class="lineno">  711</span>&#160;        <span class="keywordflow">for</span> (<span class="keywordtype">size_t</span> i = 1; i &lt; n; i++) {</div>
<div class="line"><a name="l00712"></a><span class="lineno">  712</span>&#160;            <span class="keyword">const</span> <span class="keywordtype">float</span> *xi = x + i * d;</div>
<div class="line"><a name="l00713"></a><span class="lineno">  713</span>&#160;            <span class="keywordflow">for</span> (<span class="keywordtype">size_t</span> j = 0; j &lt; d; j++) {</div>
<div class="line"><a name="l00714"></a><span class="lineno">  714</span>&#160;                <span class="keywordflow">if</span> (xi[j] &lt; vmin[j]) vmin[j] = xi[j];</div>
<div class="line"><a name="l00715"></a><span class="lineno">  715</span>&#160;                <span class="keywordflow">if</span> (xi[j] &gt; vmax[j]) vmax[j] = xi[j];</div>
<div class="line"><a name="l00716"></a><span class="lineno">  716</span>&#160;            }</div>
<div class="line"><a name="l00717"></a><span class="lineno">  717</span>&#160;        }</div>
<div class="line"><a name="l00718"></a><span class="lineno">  718</span>&#160;        <span class="keywordtype">float</span> *vdiff = vmax;</div>
<div class="line"><a name="l00719"></a><span class="lineno">  719</span>&#160;        <span class="keywordflow">for</span> (<span class="keywordtype">size_t</span> j = 0; j &lt; d; j++) {</div>
<div class="line"><a name="l00720"></a><span class="lineno">  720</span>&#160;            <span class="keywordtype">float</span> vexp = (vmax[j] - vmin[j]) * rs_arg;</div>
<div class="line"><a name="l00721"></a><span class="lineno">  721</span>&#160;            vmin[j] -= vexp;</div>
<div class="line"><a name="l00722"></a><span class="lineno">  722</span>&#160;            vmax[j] += vexp;</div>
<div class="line"><a name="l00723"></a><span class="lineno">  723</span>&#160;            vdiff [j] = vmax[j] - vmin[j];</div>
<div class="line"><a name="l00724"></a><span class="lineno">  724</span>&#160;        }</div>
<div class="line"><a name="l00725"></a><span class="lineno">  725</span>&#160;    } <span class="keywordflow">else</span> {</div>
<div class="line"><a name="l00726"></a><span class="lineno">  726</span>&#160;        <span class="comment">// transpose</span></div>
<div class="line"><a name="l00727"></a><span class="lineno">  727</span>&#160;        std::vector&lt;float&gt; xt(n * d);</div>
<div class="line"><a name="l00728"></a><span class="lineno">  728</span>&#160;        <span class="keywordflow">for</span> (<span class="keywordtype">size_t</span> i = 1; i &lt; n; i++) {</div>
<div class="line"><a name="l00729"></a><span class="lineno">  729</span>&#160;            <span class="keyword">const</span> <span class="keywordtype">float</span> *xi = x + i * d;</div>
<div class="line"><a name="l00730"></a><span class="lineno">  730</span>&#160;            <span class="keywordflow">for</span> (<span class="keywordtype">size_t</span> j = 0; j &lt; d; j++) {</div>
<div class="line"><a name="l00731"></a><span class="lineno">  731</span>&#160;                xt[j * n + i] = xi[j];</div>
<div class="line"><a name="l00732"></a><span class="lineno">  732</span>&#160;            }</div>
<div class="line"><a name="l00733"></a><span class="lineno">  733</span>&#160;        }</div>
<div class="line"><a name="l00734"></a><span class="lineno">  734</span>&#160;        std::vector&lt;float&gt; trained_d(2);</div>
<div class="line"><a name="l00735"></a><span class="lineno">  735</span>&#160;<span class="preprocessor">#pragma omp parallel for</span></div>
<div class="line"><a name="l00736"></a><span class="lineno">  736</span>&#160;<span class="preprocessor"></span>        <span class="keywordflow">for</span> (<span class="keywordtype">size_t</span> j = 0; j &lt; d; j++) {</div>
<div class="line"><a name="l00737"></a><span class="lineno">  737</span>&#160;            train_Uniform(rs, rs_arg,</div>
<div class="line"><a name="l00738"></a><span class="lineno">  738</span>&#160;                          n, k, xt.data() + j * n,</div>
<div class="line"><a name="l00739"></a><span class="lineno">  739</span>&#160;                          trained_d);</div>
<div class="line"><a name="l00740"></a><span class="lineno">  740</span>&#160;            vmin[j] = trained_d[0];</div>
<div class="line"><a name="l00741"></a><span class="lineno">  741</span>&#160;            vmax[j] = trained_d[1];</div>
<div class="line"><a name="l00742"></a><span class="lineno">  742</span>&#160;        }</div>
<div class="line"><a name="l00743"></a><span class="lineno">  743</span>&#160;    }</div>
<div class="line"><a name="l00744"></a><span class="lineno">  744</span>&#160;}</div>
<div class="line"><a name="l00745"></a><span class="lineno">  745</span>&#160;</div>
<div class="line"><a name="l00746"></a><span class="lineno">  746</span>&#160;</div>
<div class="line"><a name="l00747"></a><span class="lineno">  747</span>&#160;</div>
<div class="line"><a name="l00748"></a><span class="lineno">  748</span>&#160;<span class="comment">/*******************************************************************</span></div>
<div class="line"><a name="l00749"></a><span class="lineno">  749</span>&#160;<span class="comment"> * Similarity: gets vector components and computes a similarity wrt. a</span></div>
<div class="line"><a name="l00750"></a><span class="lineno">  750</span>&#160;<span class="comment"> * query vector stored in the object. The data fields just encapsulate</span></div>
<div class="line"><a name="l00751"></a><span class="lineno">  751</span>&#160;<span class="comment"> * an accumulator.</span></div>
<div class="line"><a name="l00752"></a><span class="lineno">  752</span>&#160;<span class="comment"> */</span></div>
<div class="line"><a name="l00753"></a><span class="lineno">  753</span>&#160;</div>
<div class="line"><a name="l00754"></a><span class="lineno">  754</span>&#160;<span class="keyword">template</span>&lt;<span class="keywordtype">int</span> SIMDWIDTH&gt;</div>
<div class="line"><a name="l00755"></a><span class="lineno">  755</span>&#160;<span class="keyword">struct </span>SimilarityL2 {};</div>
<div class="line"><a name="l00756"></a><span class="lineno">  756</span>&#160;</div>
<div class="line"><a name="l00757"></a><span class="lineno">  757</span>&#160;</div>
<div class="line"><a name="l00758"></a><span class="lineno">  758</span>&#160;<span class="keyword">template</span>&lt;&gt;</div>
<div class="line"><a name="l00759"></a><span class="lineno">  759</span>&#160;<span class="keyword">struct </span>SimilarityL2&lt;1&gt; {</div>
<div class="line"><a name="l00760"></a><span class="lineno">  760</span>&#160;    <span class="keyword">static</span> constexpr <span class="keywordtype">int</span> simdwidth = 1;</div>
<div class="line"><a name="l00761"></a><span class="lineno">  761</span>&#160;    <span class="keyword">static</span> constexpr <a class="code" href="namespacefaiss.html#afd12191c638da74760ff397cf319752c">MetricType</a> metric_type = METRIC_L2;</div>
<div class="line"><a name="l00762"></a><span class="lineno">  762</span>&#160;</div>
<div class="line"><a name="l00763"></a><span class="lineno">  763</span>&#160;    <span class="keyword">const</span> <span class="keywordtype">float</span> *y, *yi;</div>
<div class="line"><a name="l00764"></a><span class="lineno">  764</span>&#160;</div>
<div class="line"><a name="l00765"></a><span class="lineno">  765</span>&#160;    <span class="keyword">explicit</span> SimilarityL2 (<span class="keyword">const</span> <span class="keywordtype">float</span> * y): y(y) {}</div>
<div class="line"><a name="l00766"></a><span class="lineno">  766</span>&#160;</div>
<div class="line"><a name="l00767"></a><span class="lineno">  767</span>&#160;    <span class="comment">/******* scalar accumulator *******/</span></div>
<div class="line"><a name="l00768"></a><span class="lineno">  768</span>&#160;</div>
<div class="line"><a name="l00769"></a><span class="lineno">  769</span>&#160;    <span class="keywordtype">float</span> accu;</div>
<div class="line"><a name="l00770"></a><span class="lineno">  770</span>&#160;</div>
<div class="line"><a name="l00771"></a><span class="lineno">  771</span>&#160;    <span class="keywordtype">void</span> begin () {</div>
<div class="line"><a name="l00772"></a><span class="lineno">  772</span>&#160;        accu = 0;</div>
<div class="line"><a name="l00773"></a><span class="lineno">  773</span>&#160;        yi = y;</div>
<div class="line"><a name="l00774"></a><span class="lineno">  774</span>&#160;    }</div>
<div class="line"><a name="l00775"></a><span class="lineno">  775</span>&#160;</div>
<div class="line"><a name="l00776"></a><span class="lineno">  776</span>&#160;    <span class="keywordtype">void</span> add_component (<span class="keywordtype">float</span> x) {</div>
<div class="line"><a name="l00777"></a><span class="lineno">  777</span>&#160;        <span class="keywordtype">float</span> tmp = *yi++ - x;</div>
<div class="line"><a name="l00778"></a><span class="lineno">  778</span>&#160;        accu += tmp * tmp;</div>
<div class="line"><a name="l00779"></a><span class="lineno">  779</span>&#160;    }</div>
<div class="line"><a name="l00780"></a><span class="lineno">  780</span>&#160;</div>
<div class="line"><a name="l00781"></a><span class="lineno">  781</span>&#160;    <span class="keywordtype">void</span> add_component_2 (<span class="keywordtype">float</span> x1, <span class="keywordtype">float</span> x2) {</div>
<div class="line"><a name="l00782"></a><span class="lineno">  782</span>&#160;        <span class="keywordtype">float</span> tmp = x1 - x2;</div>
<div class="line"><a name="l00783"></a><span class="lineno">  783</span>&#160;        accu += tmp * tmp;</div>
<div class="line"><a name="l00784"></a><span class="lineno">  784</span>&#160;    }</div>
<div class="line"><a name="l00785"></a><span class="lineno">  785</span>&#160;</div>
<div class="line"><a name="l00786"></a><span class="lineno">  786</span>&#160;    <span class="keywordtype">float</span> result () {</div>
<div class="line"><a name="l00787"></a><span class="lineno">  787</span>&#160;        <span class="keywordflow">return</span> accu;</div>
<div class="line"><a name="l00788"></a><span class="lineno">  788</span>&#160;    }</div>
<div class="line"><a name="l00789"></a><span class="lineno">  789</span>&#160;};</div>
<div class="line"><a name="l00790"></a><span class="lineno">  790</span>&#160;</div>
<div class="line"><a name="l00791"></a><span class="lineno">  791</span>&#160;</div>
<div class="line"><a name="l00792"></a><span class="lineno">  792</span>&#160;<span class="preprocessor">#ifdef USE_AVX</span></div>
<div class="line"><a name="l00793"></a><span class="lineno">  793</span>&#160;<span class="preprocessor"></span><span class="keyword">template</span>&lt;&gt;</div>
<div class="line"><a name="l00794"></a><span class="lineno">  794</span>&#160;<span class="keyword">struct </span>SimilarityL2&lt;8&gt; {</div>
<div class="line"><a name="l00795"></a><span class="lineno">  795</span>&#160;    <span class="keyword">static</span> constexpr <span class="keywordtype">int</span> simdwidth = 8;</div>
<div class="line"><a name="l00796"></a><span class="lineno">  796</span>&#160;    <span class="keyword">static</span> constexpr <a class="code" href="namespacefaiss.html#afd12191c638da74760ff397cf319752c">MetricType</a> metric_type = METRIC_L2;</div>
<div class="line"><a name="l00797"></a><span class="lineno">  797</span>&#160;</div>
<div class="line"><a name="l00798"></a><span class="lineno">  798</span>&#160;    <span class="keyword">const</span> <span class="keywordtype">float</span> *y, *yi;</div>
<div class="line"><a name="l00799"></a><span class="lineno">  799</span>&#160;</div>
<div class="line"><a name="l00800"></a><span class="lineno">  800</span>&#160;    <span class="keyword">explicit</span> SimilarityL2 (<span class="keyword">const</span> <span class="keywordtype">float</span> * y): y(y) {}</div>
<div class="line"><a name="l00801"></a><span class="lineno">  801</span>&#160;    __m256 accu8;</div>
<div class="line"><a name="l00802"></a><span class="lineno">  802</span>&#160;</div>
<div class="line"><a name="l00803"></a><span class="lineno">  803</span>&#160;    <span class="keywordtype">void</span> begin_8 () {</div>
<div class="line"><a name="l00804"></a><span class="lineno">  804</span>&#160;        accu8 = _mm256_setzero_ps();</div>
<div class="line"><a name="l00805"></a><span class="lineno">  805</span>&#160;        yi = y;</div>
<div class="line"><a name="l00806"></a><span class="lineno">  806</span>&#160;    }</div>
<div class="line"><a name="l00807"></a><span class="lineno">  807</span>&#160;</div>
<div class="line"><a name="l00808"></a><span class="lineno">  808</span>&#160;    <span class="keywordtype">void</span> add_8_components (__m256 x) {</div>
<div class="line"><a name="l00809"></a><span class="lineno">  809</span>&#160;        __m256 yiv = _mm256_loadu_ps (yi);</div>
<div class="line"><a name="l00810"></a><span class="lineno">  810</span>&#160;        yi += 8;</div>
<div class="line"><a name="l00811"></a><span class="lineno">  811</span>&#160;        __m256 tmp = yiv - x;</div>
<div class="line"><a name="l00812"></a><span class="lineno">  812</span>&#160;        accu8 += tmp * tmp;</div>
<div class="line"><a name="l00813"></a><span class="lineno">  813</span>&#160;    }</div>
<div class="line"><a name="l00814"></a><span class="lineno">  814</span>&#160;</div>
<div class="line"><a name="l00815"></a><span class="lineno">  815</span>&#160;    <span class="keywordtype">void</span> add_8_components_2 (__m256 x, __m256 y) {</div>
<div class="line"><a name="l00816"></a><span class="lineno">  816</span>&#160;        __m256 tmp = y - x;</div>
<div class="line"><a name="l00817"></a><span class="lineno">  817</span>&#160;        accu8 += tmp * tmp;</div>
<div class="line"><a name="l00818"></a><span class="lineno">  818</span>&#160;    }</div>
<div class="line"><a name="l00819"></a><span class="lineno">  819</span>&#160;</div>
<div class="line"><a name="l00820"></a><span class="lineno">  820</span>&#160;    <span class="keywordtype">float</span> result_8 () {</div>
<div class="line"><a name="l00821"></a><span class="lineno">  821</span>&#160;        __m256 sum = _mm256_hadd_ps(accu8, accu8);</div>
<div class="line"><a name="l00822"></a><span class="lineno">  822</span>&#160;        __m256 sum2 = _mm256_hadd_ps(sum, sum);</div>
<div class="line"><a name="l00823"></a><span class="lineno">  823</span>&#160;        <span class="comment">// now add the 0th and 4th component</span></div>
<div class="line"><a name="l00824"></a><span class="lineno">  824</span>&#160;        <span class="keywordflow">return</span></div>
<div class="line"><a name="l00825"></a><span class="lineno">  825</span>&#160;            _mm_cvtss_f32 (_mm256_castps256_ps128(sum2)) +</div>
<div class="line"><a name="l00826"></a><span class="lineno">  826</span>&#160;            _mm_cvtss_f32 (_mm256_extractf128_ps(sum2, 1));</div>
<div class="line"><a name="l00827"></a><span class="lineno">  827</span>&#160;    }</div>
<div class="line"><a name="l00828"></a><span class="lineno">  828</span>&#160;</div>
<div class="line"><a name="l00829"></a><span class="lineno">  829</span>&#160;};</div>
<div class="line"><a name="l00830"></a><span class="lineno">  830</span>&#160;</div>
<div class="line"><a name="l00831"></a><span class="lineno">  831</span>&#160;<span class="preprocessor">#endif</span></div>
<div class="line"><a name="l00832"></a><span class="lineno">  832</span>&#160;<span class="preprocessor"></span></div>
<div class="line"><a name="l00833"></a><span class="lineno">  833</span>&#160;</div>
<div class="line"><a name="l00834"></a><span class="lineno">  834</span>&#160;<span class="keyword">template</span>&lt;<span class="keywordtype">int</span> SIMDWIDTH&gt;</div>
<div class="line"><a name="l00835"></a><span class="lineno">  835</span>&#160;<span class="keyword">struct </span>SimilarityIP {};</div>
<div class="line"><a name="l00836"></a><span class="lineno">  836</span>&#160;</div>
<div class="line"><a name="l00837"></a><span class="lineno">  837</span>&#160;</div>
<div class="line"><a name="l00838"></a><span class="lineno">  838</span>&#160;<span class="keyword">template</span>&lt;&gt;</div>
<div class="line"><a name="l00839"></a><span class="lineno">  839</span>&#160;<span class="keyword">struct </span>SimilarityIP&lt;1&gt; {</div>
<div class="line"><a name="l00840"></a><span class="lineno">  840</span>&#160;    <span class="keyword">static</span> constexpr <span class="keywordtype">int</span> simdwidth = 1;</div>
<div class="line"><a name="l00841"></a><span class="lineno">  841</span>&#160;    <span class="keyword">static</span> constexpr <a class="code" href="namespacefaiss.html#afd12191c638da74760ff397cf319752c">MetricType</a> metric_type = METRIC_INNER_PRODUCT;</div>
<div class="line"><a name="l00842"></a><span class="lineno">  842</span>&#160;    <span class="keyword">const</span> <span class="keywordtype">float</span> *y, *yi;</div>
<div class="line"><a name="l00843"></a><span class="lineno">  843</span>&#160;</div>
<div class="line"><a name="l00844"></a><span class="lineno">  844</span>&#160;    <span class="keywordtype">float</span> accu;</div>
<div class="line"><a name="l00845"></a><span class="lineno">  845</span>&#160;</div>
<div class="line"><a name="l00846"></a><span class="lineno">  846</span>&#160;    <span class="keyword">explicit</span> SimilarityIP (<span class="keyword">const</span> <span class="keywordtype">float</span> * y):</div>
<div class="line"><a name="l00847"></a><span class="lineno">  847</span>&#160;        y (y) {}</div>
<div class="line"><a name="l00848"></a><span class="lineno">  848</span>&#160;</div>
<div class="line"><a name="l00849"></a><span class="lineno">  849</span>&#160;    <span class="keywordtype">void</span> begin () {</div>
<div class="line"><a name="l00850"></a><span class="lineno">  850</span>&#160;        accu = 0;</div>
<div class="line"><a name="l00851"></a><span class="lineno">  851</span>&#160;        yi = y;</div>
<div class="line"><a name="l00852"></a><span class="lineno">  852</span>&#160;    }</div>
<div class="line"><a name="l00853"></a><span class="lineno">  853</span>&#160;</div>
<div class="line"><a name="l00854"></a><span class="lineno">  854</span>&#160;    <span class="keywordtype">void</span> add_component (<span class="keywordtype">float</span> x) {</div>
<div class="line"><a name="l00855"></a><span class="lineno">  855</span>&#160;        accu +=  *yi++ * x;</div>
<div class="line"><a name="l00856"></a><span class="lineno">  856</span>&#160;    }</div>
<div class="line"><a name="l00857"></a><span class="lineno">  857</span>&#160;</div>
<div class="line"><a name="l00858"></a><span class="lineno">  858</span>&#160;    <span class="keywordtype">void</span> add_component_2 (<span class="keywordtype">float</span> x1, <span class="keywordtype">float</span> x2) {</div>
<div class="line"><a name="l00859"></a><span class="lineno">  859</span>&#160;        accu +=  x1 * x2;</div>
<div class="line"><a name="l00860"></a><span class="lineno">  860</span>&#160;    }</div>
<div class="line"><a name="l00861"></a><span class="lineno">  861</span>&#160;</div>
<div class="line"><a name="l00862"></a><span class="lineno">  862</span>&#160;    <span class="keywordtype">float</span> result () {</div>
<div class="line"><a name="l00863"></a><span class="lineno">  863</span>&#160;        <span class="keywordflow">return</span> accu;</div>
<div class="line"><a name="l00864"></a><span class="lineno">  864</span>&#160;    }</div>
<div class="line"><a name="l00865"></a><span class="lineno">  865</span>&#160;};</div>
<div class="line"><a name="l00866"></a><span class="lineno">  866</span>&#160;</div>
<div class="line"><a name="l00867"></a><span class="lineno">  867</span>&#160;<span class="preprocessor">#ifdef USE_AVX</span></div>
<div class="line"><a name="l00868"></a><span class="lineno">  868</span>&#160;<span class="preprocessor"></span></div>
<div class="line"><a name="l00869"></a><span class="lineno">  869</span>&#160;<span class="keyword">template</span>&lt;&gt;</div>
<div class="line"><a name="l00870"></a><span class="lineno">  870</span>&#160;<span class="keyword">struct </span>SimilarityIP&lt;8&gt; {</div>
<div class="line"><a name="l00871"></a><span class="lineno">  871</span>&#160;    <span class="keyword">static</span> constexpr <span class="keywordtype">int</span> simdwidth = 8;</div>
<div class="line"><a name="l00872"></a><span class="lineno">  872</span>&#160;    <span class="keyword">static</span> constexpr <a class="code" href="namespacefaiss.html#afd12191c638da74760ff397cf319752c">MetricType</a> metric_type = METRIC_INNER_PRODUCT;</div>
<div class="line"><a name="l00873"></a><span class="lineno">  873</span>&#160;</div>
<div class="line"><a name="l00874"></a><span class="lineno">  874</span>&#160;    <span class="keyword">const</span> <span class="keywordtype">float</span> *y, *yi;</div>
<div class="line"><a name="l00875"></a><span class="lineno">  875</span>&#160;</div>
<div class="line"><a name="l00876"></a><span class="lineno">  876</span>&#160;    <span class="keywordtype">float</span> accu;</div>
<div class="line"><a name="l00877"></a><span class="lineno">  877</span>&#160;</div>
<div class="line"><a name="l00878"></a><span class="lineno">  878</span>&#160;    <span class="keyword">explicit</span> SimilarityIP (<span class="keyword">const</span> <span class="keywordtype">float</span> * y):</div>
<div class="line"><a name="l00879"></a><span class="lineno">  879</span>&#160;        y (y) {}</div>
<div class="line"><a name="l00880"></a><span class="lineno">  880</span>&#160;</div>
<div class="line"><a name="l00881"></a><span class="lineno">  881</span>&#160;    __m256 accu8;</div>
<div class="line"><a name="l00882"></a><span class="lineno">  882</span>&#160;</div>
<div class="line"><a name="l00883"></a><span class="lineno">  883</span>&#160;    <span class="keywordtype">void</span> begin_8 () {</div>
<div class="line"><a name="l00884"></a><span class="lineno">  884</span>&#160;        accu8 = _mm256_setzero_ps();</div>
<div class="line"><a name="l00885"></a><span class="lineno">  885</span>&#160;        yi = y;</div>
<div class="line"><a name="l00886"></a><span class="lineno">  886</span>&#160;    }</div>
<div class="line"><a name="l00887"></a><span class="lineno">  887</span>&#160;</div>
<div class="line"><a name="l00888"></a><span class="lineno">  888</span>&#160;    <span class="keywordtype">void</span> add_8_components (__m256 x) {</div>
<div class="line"><a name="l00889"></a><span class="lineno">  889</span>&#160;        __m256 yiv = _mm256_loadu_ps (yi);</div>
<div class="line"><a name="l00890"></a><span class="lineno">  890</span>&#160;        yi += 8;</div>
<div class="line"><a name="l00891"></a><span class="lineno">  891</span>&#160;        accu8 += yiv * x;</div>
<div class="line"><a name="l00892"></a><span class="lineno">  892</span>&#160;    }</div>
<div class="line"><a name="l00893"></a><span class="lineno">  893</span>&#160;</div>
<div class="line"><a name="l00894"></a><span class="lineno">  894</span>&#160;    <span class="keywordtype">void</span> add_8_components_2 (__m256 x1, __m256 x2) {</div>
<div class="line"><a name="l00895"></a><span class="lineno">  895</span>&#160;        accu8 += x1 * x2;</div>
<div class="line"><a name="l00896"></a><span class="lineno">  896</span>&#160;    }</div>
<div class="line"><a name="l00897"></a><span class="lineno">  897</span>&#160;</div>
<div class="line"><a name="l00898"></a><span class="lineno">  898</span>&#160;    <span class="keywordtype">float</span> result_8 () {</div>
<div class="line"><a name="l00899"></a><span class="lineno">  899</span>&#160;        __m256 sum = _mm256_hadd_ps(accu8, accu8);</div>
<div class="line"><a name="l00900"></a><span class="lineno">  900</span>&#160;        __m256 sum2 = _mm256_hadd_ps(sum, sum);</div>
<div class="line"><a name="l00901"></a><span class="lineno">  901</span>&#160;        <span class="comment">// now add the 0th and 4th component</span></div>
<div class="line"><a name="l00902"></a><span class="lineno">  902</span>&#160;        <span class="keywordflow">return</span></div>
<div class="line"><a name="l00903"></a><span class="lineno">  903</span>&#160;            _mm_cvtss_f32 (_mm256_castps256_ps128(sum2)) +</div>
<div class="line"><a name="l00904"></a><span class="lineno">  904</span>&#160;            _mm_cvtss_f32 (_mm256_extractf128_ps(sum2, 1));</div>
<div class="line"><a name="l00905"></a><span class="lineno">  905</span>&#160;    }</div>
<div class="line"><a name="l00906"></a><span class="lineno">  906</span>&#160;};</div>
<div class="line"><a name="l00907"></a><span class="lineno">  907</span>&#160;<span class="preprocessor">#endif</span></div>
<div class="line"><a name="l00908"></a><span class="lineno">  908</span>&#160;<span class="preprocessor"></span></div>
<div class="line"><a name="l00909"></a><span class="lineno">  909</span>&#160;</div>
<div class="line"><a name="l00910"></a><span class="lineno">  910</span>&#160;<span class="comment">/*******************************************************************</span></div>
<div class="line"><a name="l00911"></a><span class="lineno">  911</span>&#160;<span class="comment"> * DistanceComputer: combines a similarity and a quantizer to do</span></div>
<div class="line"><a name="l00912"></a><span class="lineno">  912</span>&#160;<span class="comment"> * code-to-vector or code-to-code comparisons</span></div>
<div class="line"><a name="l00913"></a><span class="lineno">  913</span>&#160;<span class="comment"> *******************************************************************/</span></div>
<div class="line"><a name="l00914"></a><span class="lineno">  914</span>&#160;</div>
<div class="line"><a name="l00915"></a><span class="lineno">  915</span>&#160;<span class="keyword">template</span>&lt;<span class="keyword">class</span> Quantizer, <span class="keyword">class</span> Similarity, <span class="keywordtype">int</span> SIMDWIDTH&gt;</div>
<div class="line"><a name="l00916"></a><span class="lineno">  916</span>&#160;<span class="keyword">struct </span>DCTemplate : SQDistanceComputer {};</div>
<div class="line"><a name="l00917"></a><span class="lineno">  917</span>&#160;</div>
<div class="line"><a name="l00918"></a><span class="lineno">  918</span>&#160;<span class="keyword">template</span>&lt;<span class="keyword">class</span> Quantizer, <span class="keyword">class</span> Similarity&gt;</div>
<div class="line"><a name="l00919"></a><span class="lineno">  919</span>&#160;<span class="keyword">struct </span>DCTemplate&lt;Quantizer, Similarity, 1&gt; : SQDistanceComputer</div>
<div class="line"><a name="l00920"></a><span class="lineno">  920</span>&#160;{</div>
<div class="line"><a name="l00921"></a><span class="lineno">  921</span>&#160;    <span class="keyword">using</span> Sim = Similarity;</div>
<div class="line"><a name="l00922"></a><span class="lineno">  922</span>&#160;</div>
<div class="line"><a name="l00923"></a><span class="lineno">  923</span>&#160;    Quantizer quant;</div>
<div class="line"><a name="l00924"></a><span class="lineno">  924</span>&#160;</div>
<div class="line"><a name="l00925"></a><span class="lineno">  925</span>&#160;    DCTemplate(<span class="keywordtype">size_t</span> d, <span class="keyword">const</span> std::vector&lt;float&gt; &amp;trained):</div>
<div class="line"><a name="l00926"></a><span class="lineno">  926</span>&#160;        quant(d, trained)</div>
<div class="line"><a name="l00927"></a><span class="lineno">  927</span>&#160;    {}</div>
<div class="line"><a name="l00928"></a><span class="lineno">  928</span>&#160;</div>
<div class="line"><a name="l00929"></a><span class="lineno">  929</span>&#160;    <span class="keywordtype">float</span> compute_distance(<span class="keyword">const</span> <span class="keywordtype">float</span>* x, <span class="keyword">const</span> uint8_t* code)<span class="keyword"> const </span>{</div>
<div class="line"><a name="l00930"></a><span class="lineno">  930</span>&#160;</div>
<div class="line"><a name="l00931"></a><span class="lineno">  931</span>&#160;        Similarity sim(x);</div>
<div class="line"><a name="l00932"></a><span class="lineno">  932</span>&#160;        sim.begin();</div>
<div class="line"><a name="l00933"></a><span class="lineno">  933</span>&#160;        <span class="keywordflow">for</span> (<span class="keywordtype">size_t</span> i = 0; i &lt; quant.d; i++) {</div>
<div class="line"><a name="l00934"></a><span class="lineno">  934</span>&#160;            <span class="keywordtype">float</span> xi = quant.reconstruct_component(code, i);</div>
<div class="line"><a name="l00935"></a><span class="lineno">  935</span>&#160;            sim.add_component(xi);</div>
<div class="line"><a name="l00936"></a><span class="lineno">  936</span>&#160;        }</div>
<div class="line"><a name="l00937"></a><span class="lineno">  937</span>&#160;        <span class="keywordflow">return</span> sim.result();</div>
<div class="line"><a name="l00938"></a><span class="lineno">  938</span>&#160;    }</div>
<div class="line"><a name="l00939"></a><span class="lineno">  939</span>&#160;</div>
<div class="line"><a name="l00940"></a><span class="lineno">  940</span>&#160;    <span class="keywordtype">float</span> compute_code_distance(<span class="keyword">const</span> uint8_t* code1, <span class="keyword">const</span> uint8_t* code2)<span class="keyword"></span></div>
<div class="line"><a name="l00941"></a><span class="lineno">  941</span>&#160;<span class="keyword">        const </span>{</div>
<div class="line"><a name="l00942"></a><span class="lineno">  942</span>&#160;        Similarity sim(<span class="keyword">nullptr</span>);</div>
<div class="line"><a name="l00943"></a><span class="lineno">  943</span>&#160;        sim.begin();</div>
<div class="line"><a name="l00944"></a><span class="lineno">  944</span>&#160;        <span class="keywordflow">for</span> (<span class="keywordtype">size_t</span> i = 0; i &lt; quant.d; i++) {</div>
<div class="line"><a name="l00945"></a><span class="lineno">  945</span>&#160;            <span class="keywordtype">float</span> x1 = quant.reconstruct_component(code1, i);</div>
<div class="line"><a name="l00946"></a><span class="lineno">  946</span>&#160;            <span class="keywordtype">float</span> x2 = quant.reconstruct_component(code2, i);</div>
<div class="line"><a name="l00947"></a><span class="lineno">  947</span>&#160;                sim.add_component_2(x1, x2);</div>
<div class="line"><a name="l00948"></a><span class="lineno">  948</span>&#160;        }</div>
<div class="line"><a name="l00949"></a><span class="lineno">  949</span>&#160;        <span class="keywordflow">return</span> sim.result();</div>
<div class="line"><a name="l00950"></a><span class="lineno">  950</span>&#160;    }</div>
<div class="line"><a name="l00951"></a><span class="lineno">  951</span>&#160;</div>
<div class="line"><a name="l00952"></a><span class="lineno">  952</span>&#160;    <span class="keywordtype">void</span> set_query (<span class="keyword">const</span> <span class="keywordtype">float</span> *x) <span class="keyword">final</span> {</div>
<div class="line"><a name="l00953"></a><span class="lineno">  953</span>&#160;        q = x;</div>
<div class="line"><a name="l00954"></a><span class="lineno">  954</span>&#160;    }</div>
<div class="line"><a name="l00955"></a><span class="lineno">  955</span>&#160;<span class="comment"></span></div>
<div class="line"><a name="l00956"></a><span class="lineno">  956</span>&#160;<span class="comment">    /// compute distance of vector i to current query</span></div>
<div class="line"><a name="l00957"></a><span class="lineno">  957</span>&#160;<span class="comment"></span>    <span class="keywordtype">float</span> operator () (idx_t i) <span class="keyword">final</span> {</div>
<div class="line"><a name="l00958"></a><span class="lineno">  958</span>&#160;        <span class="keywordflow">return</span> compute_distance (q, codes + i * code_size);</div>
<div class="line"><a name="l00959"></a><span class="lineno">  959</span>&#160;    }</div>
<div class="line"><a name="l00960"></a><span class="lineno">  960</span>&#160;</div>
<div class="line"><a name="l00961"></a><span class="lineno">  961</span>&#160;    <span class="keywordtype">float</span> symmetric_dis (idx_t i, idx_t j)<span class="keyword"> override </span>{</div>
<div class="line"><a name="l00962"></a><span class="lineno">  962</span>&#160;        <span class="keywordflow">return</span> compute_code_distance (codes + i * code_size,</div>
<div class="line"><a name="l00963"></a><span class="lineno">  963</span>&#160;                                      codes + j * code_size);</div>
<div class="line"><a name="l00964"></a><span class="lineno">  964</span>&#160;    }</div>
<div class="line"><a name="l00965"></a><span class="lineno">  965</span>&#160;</div>
<div class="line"><a name="l00966"></a><span class="lineno">  966</span>&#160;    <span class="keywordtype">float</span> query_to_code (<span class="keyword">const</span> uint8_t * code)<span class="keyword"> const </span>{</div>
<div class="line"><a name="l00967"></a><span class="lineno">  967</span>&#160;        <span class="keywordflow">return</span> compute_distance (q, code);</div>
<div class="line"><a name="l00968"></a><span class="lineno">  968</span>&#160;    }</div>
<div class="line"><a name="l00969"></a><span class="lineno">  969</span>&#160;</div>
<div class="line"><a name="l00970"></a><span class="lineno">  970</span>&#160;};</div>
<div class="line"><a name="l00971"></a><span class="lineno">  971</span>&#160;</div>
<div class="line"><a name="l00972"></a><span class="lineno">  972</span>&#160;<span class="preprocessor">#ifdef USE_AVX</span></div>
<div class="line"><a name="l00973"></a><span class="lineno">  973</span>&#160;<span class="preprocessor"></span></div>
<div class="line"><a name="l00974"></a><span class="lineno">  974</span>&#160;<span class="keyword">template</span>&lt;<span class="keyword">class</span> Quantizer, <span class="keyword">class</span> Similarity&gt;</div>
<div class="line"><a name="l00975"></a><span class="lineno">  975</span>&#160;<span class="keyword">struct </span>DCTemplate&lt;Quantizer, Similarity, 8&gt; : SQDistanceComputer</div>
<div class="line"><a name="l00976"></a><span class="lineno">  976</span>&#160;{</div>
<div class="line"><a name="l00977"></a><span class="lineno">  977</span>&#160;    <span class="keyword">using</span> Sim = Similarity;</div>
<div class="line"><a name="l00978"></a><span class="lineno">  978</span>&#160;</div>
<div class="line"><a name="l00979"></a><span class="lineno">  979</span>&#160;    Quantizer quant;</div>
<div class="line"><a name="l00980"></a><span class="lineno">  980</span>&#160;</div>
<div class="line"><a name="l00981"></a><span class="lineno">  981</span>&#160;    DCTemplate(<span class="keywordtype">size_t</span> d, <span class="keyword">const</span> std::vector&lt;float&gt; &amp;trained):</div>
<div class="line"><a name="l00982"></a><span class="lineno">  982</span>&#160;        quant(d, trained)</div>
<div class="line"><a name="l00983"></a><span class="lineno">  983</span>&#160;    {}</div>
<div class="line"><a name="l00984"></a><span class="lineno">  984</span>&#160;</div>
<div class="line"><a name="l00985"></a><span class="lineno">  985</span>&#160;    <span class="keywordtype">float</span> compute_distance(<span class="keyword">const</span> <span class="keywordtype">float</span>* x, <span class="keyword">const</span> uint8_t* code)<span class="keyword"> const </span>{</div>
<div class="line"><a name="l00986"></a><span class="lineno">  986</span>&#160;</div>
<div class="line"><a name="l00987"></a><span class="lineno">  987</span>&#160;        Similarity sim(x);</div>
<div class="line"><a name="l00988"></a><span class="lineno">  988</span>&#160;        sim.begin_8();</div>
<div class="line"><a name="l00989"></a><span class="lineno">  989</span>&#160;        <span class="keywordflow">for</span> (<span class="keywordtype">size_t</span> i = 0; i &lt; quant.d; i += 8) {</div>
<div class="line"><a name="l00990"></a><span class="lineno">  990</span>&#160;            __m256 xi = quant.reconstruct_8_components(code, i);</div>
<div class="line"><a name="l00991"></a><span class="lineno">  991</span>&#160;            sim.add_8_components(xi);</div>
<div class="line"><a name="l00992"></a><span class="lineno">  992</span>&#160;        }</div>
<div class="line"><a name="l00993"></a><span class="lineno">  993</span>&#160;        <span class="keywordflow">return</span> sim.result_8();</div>
<div class="line"><a name="l00994"></a><span class="lineno">  994</span>&#160;    }</div>
<div class="line"><a name="l00995"></a><span class="lineno">  995</span>&#160;</div>
<div class="line"><a name="l00996"></a><span class="lineno">  996</span>&#160;    <span class="keywordtype">float</span> compute_code_distance(<span class="keyword">const</span> uint8_t* code1, <span class="keyword">const</span> uint8_t* code2)<span class="keyword"></span></div>
<div class="line"><a name="l00997"></a><span class="lineno">  997</span>&#160;<span class="keyword">        const </span>{</div>
<div class="line"><a name="l00998"></a><span class="lineno">  998</span>&#160;        Similarity sim(<span class="keyword">nullptr</span>);</div>
<div class="line"><a name="l00999"></a><span class="lineno">  999</span>&#160;        sim.begin_8();</div>
<div class="line"><a name="l01000"></a><span class="lineno"> 1000</span>&#160;        <span class="keywordflow">for</span> (<span class="keywordtype">size_t</span> i = 0; i &lt; quant.d; i += 8) {</div>
<div class="line"><a name="l01001"></a><span class="lineno"> 1001</span>&#160;            __m256 x1 = quant.reconstruct_8_components(code1, i);</div>
<div class="line"><a name="l01002"></a><span class="lineno"> 1002</span>&#160;            __m256 x2 = quant.reconstruct_8_components(code2, i);</div>
<div class="line"><a name="l01003"></a><span class="lineno"> 1003</span>&#160;            sim.add_8_components_2(x1, x2);</div>
<div class="line"><a name="l01004"></a><span class="lineno"> 1004</span>&#160;        }</div>
<div class="line"><a name="l01005"></a><span class="lineno"> 1005</span>&#160;        <span class="keywordflow">return</span> sim.result_8();</div>
<div class="line"><a name="l01006"></a><span class="lineno"> 1006</span>&#160;    }</div>
<div class="line"><a name="l01007"></a><span class="lineno"> 1007</span>&#160;</div>
<div class="line"><a name="l01008"></a><span class="lineno"> 1008</span>&#160;    <span class="keywordtype">void</span> set_query (<span class="keyword">const</span> <span class="keywordtype">float</span> *x) <span class="keyword">final</span> {</div>
<div class="line"><a name="l01009"></a><span class="lineno"> 1009</span>&#160;        q = x;</div>
<div class="line"><a name="l01010"></a><span class="lineno"> 1010</span>&#160;    }</div>
<div class="line"><a name="l01011"></a><span class="lineno"> 1011</span>&#160;<span class="comment"></span></div>
<div class="line"><a name="l01012"></a><span class="lineno"> 1012</span>&#160;<span class="comment">    /// compute distance of vector i to current query</span></div>
<div class="line"><a name="l01013"></a><span class="lineno"> 1013</span>&#160;<span class="comment"></span>    <span class="keywordtype">float</span> operator () (idx_t i) <span class="keyword">final</span> {</div>
<div class="line"><a name="l01014"></a><span class="lineno"> 1014</span>&#160;        <span class="keywordflow">return</span> compute_distance (q, codes + i * code_size);</div>
<div class="line"><a name="l01015"></a><span class="lineno"> 1015</span>&#160;    }</div>
<div class="line"><a name="l01016"></a><span class="lineno"> 1016</span>&#160;</div>
<div class="line"><a name="l01017"></a><span class="lineno"> 1017</span>&#160;    <span class="keywordtype">float</span> symmetric_dis (idx_t i, idx_t j)<span class="keyword"> override </span>{</div>
<div class="line"><a name="l01018"></a><span class="lineno"> 1018</span>&#160;        <span class="keywordflow">return</span> compute_code_distance (codes + i * code_size,</div>
<div class="line"><a name="l01019"></a><span class="lineno"> 1019</span>&#160;                                      codes + j * code_size);</div>
<div class="line"><a name="l01020"></a><span class="lineno"> 1020</span>&#160;    }</div>
<div class="line"><a name="l01021"></a><span class="lineno"> 1021</span>&#160;</div>
<div class="line"><a name="l01022"></a><span class="lineno"> 1022</span>&#160;    <span class="keywordtype">float</span> query_to_code (<span class="keyword">const</span> uint8_t * code)<span class="keyword"> const </span>{</div>
<div class="line"><a name="l01023"></a><span class="lineno"> 1023</span>&#160;        <span class="keywordflow">return</span> compute_distance (q, code);</div>
<div class="line"><a name="l01024"></a><span class="lineno"> 1024</span>&#160;    }</div>
<div class="line"><a name="l01025"></a><span class="lineno"> 1025</span>&#160;</div>
<div class="line"><a name="l01026"></a><span class="lineno"> 1026</span>&#160;};</div>
<div class="line"><a name="l01027"></a><span class="lineno"> 1027</span>&#160;</div>
<div class="line"><a name="l01028"></a><span class="lineno"> 1028</span>&#160;<span class="preprocessor">#endif</span></div>
<div class="line"><a name="l01029"></a><span class="lineno"> 1029</span>&#160;<span class="preprocessor"></span></div>
<div class="line"><a name="l01030"></a><span class="lineno"> 1030</span>&#160;</div>
<div class="line"><a name="l01031"></a><span class="lineno"> 1031</span>&#160;</div>
<div class="line"><a name="l01032"></a><span class="lineno"> 1032</span>&#160;<span class="comment">/*******************************************************************</span></div>
<div class="line"><a name="l01033"></a><span class="lineno"> 1033</span>&#160;<span class="comment"> * DistanceComputerByte: computes distances in the integer domain</span></div>
<div class="line"><a name="l01034"></a><span class="lineno"> 1034</span>&#160;<span class="comment"> *******************************************************************/</span></div>
<div class="line"><a name="l01035"></a><span class="lineno"> 1035</span>&#160;</div>
<div class="line"><a name="l01036"></a><span class="lineno"> 1036</span>&#160;<span class="keyword">template</span>&lt;<span class="keyword">class</span> Similarity, <span class="keywordtype">int</span> SIMDWIDTH&gt;</div>
<div class="line"><a name="l01037"></a><span class="lineno"> 1037</span>&#160;<span class="keyword">struct </span>DistanceComputerByte : SQDistanceComputer {};</div>
<div class="line"><a name="l01038"></a><span class="lineno"> 1038</span>&#160;</div>
<div class="line"><a name="l01039"></a><span class="lineno"> 1039</span>&#160;<span class="keyword">template</span>&lt;<span class="keyword">class</span> Similarity&gt;</div>
<div class="line"><a name="l01040"></a><span class="lineno"> 1040</span>&#160;<span class="keyword">struct </span>DistanceComputerByte&lt;Similarity, 1&gt; : SQDistanceComputer {</div>
<div class="line"><a name="l01041"></a><span class="lineno"> 1041</span>&#160;    <span class="keyword">using</span> Sim = Similarity;</div>
<div class="line"><a name="l01042"></a><span class="lineno"> 1042</span>&#160;</div>
<div class="line"><a name="l01043"></a><span class="lineno"> 1043</span>&#160;    <span class="keywordtype">int</span> d;</div>
<div class="line"><a name="l01044"></a><span class="lineno"> 1044</span>&#160;    std::vector&lt;uint8_t&gt; tmp;</div>
<div class="line"><a name="l01045"></a><span class="lineno"> 1045</span>&#160;</div>
<div class="line"><a name="l01046"></a><span class="lineno"> 1046</span>&#160;    DistanceComputerByte(<span class="keywordtype">int</span> d, <span class="keyword">const</span> std::vector&lt;float&gt; &amp;): d(d), tmp(d) {</div>
<div class="line"><a name="l01047"></a><span class="lineno"> 1047</span>&#160;    }</div>
<div class="line"><a name="l01048"></a><span class="lineno"> 1048</span>&#160;</div>
<div class="line"><a name="l01049"></a><span class="lineno"> 1049</span>&#160;    <span class="keywordtype">int</span> compute_code_distance(<span class="keyword">const</span> uint8_t* code1, <span class="keyword">const</span> uint8_t* code2)<span class="keyword"></span></div>
<div class="line"><a name="l01050"></a><span class="lineno"> 1050</span>&#160;<span class="keyword">        const </span>{</div>
<div class="line"><a name="l01051"></a><span class="lineno"> 1051</span>&#160;        <span class="keywordtype">int</span> accu = 0;</div>
<div class="line"><a name="l01052"></a><span class="lineno"> 1052</span>&#160;        <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i &lt; d; i++) {</div>
<div class="line"><a name="l01053"></a><span class="lineno"> 1053</span>&#160;            <span class="keywordflow">if</span> (Sim::metric_type == METRIC_INNER_PRODUCT) {</div>
<div class="line"><a name="l01054"></a><span class="lineno"> 1054</span>&#160;                accu += int(code1[i]) * code2[i];</div>
<div class="line"><a name="l01055"></a><span class="lineno"> 1055</span>&#160;            } <span class="keywordflow">else</span> {</div>
<div class="line"><a name="l01056"></a><span class="lineno"> 1056</span>&#160;                <span class="keywordtype">int</span> diff = int(code1[i]) - code2[i];</div>
<div class="line"><a name="l01057"></a><span class="lineno"> 1057</span>&#160;                accu += diff * diff;</div>
<div class="line"><a name="l01058"></a><span class="lineno"> 1058</span>&#160;            }</div>
<div class="line"><a name="l01059"></a><span class="lineno"> 1059</span>&#160;        }</div>
<div class="line"><a name="l01060"></a><span class="lineno"> 1060</span>&#160;        <span class="keywordflow">return</span> accu;</div>
<div class="line"><a name="l01061"></a><span class="lineno"> 1061</span>&#160;    }</div>
<div class="line"><a name="l01062"></a><span class="lineno"> 1062</span>&#160;</div>
<div class="line"><a name="l01063"></a><span class="lineno"> 1063</span>&#160;    <span class="keywordtype">void</span> set_query (<span class="keyword">const</span> <span class="keywordtype">float</span> *x) <span class="keyword">final</span> {</div>
<div class="line"><a name="l01064"></a><span class="lineno"> 1064</span>&#160;        <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i &lt; d; i++) {</div>
<div class="line"><a name="l01065"></a><span class="lineno"> 1065</span>&#160;            tmp[i] = int(x[i]);</div>
<div class="line"><a name="l01066"></a><span class="lineno"> 1066</span>&#160;        }</div>
<div class="line"><a name="l01067"></a><span class="lineno"> 1067</span>&#160;    }</div>
<div class="line"><a name="l01068"></a><span class="lineno"> 1068</span>&#160;</div>
<div class="line"><a name="l01069"></a><span class="lineno"> 1069</span>&#160;    <span class="keywordtype">int</span> compute_distance(<span class="keyword">const</span> <span class="keywordtype">float</span>* x, <span class="keyword">const</span> uint8_t* code) {</div>
<div class="line"><a name="l01070"></a><span class="lineno"> 1070</span>&#160;        set_query(x);</div>
<div class="line"><a name="l01071"></a><span class="lineno"> 1071</span>&#160;        <span class="keywordflow">return</span> compute_code_distance(tmp.data(), code);</div>
<div class="line"><a name="l01072"></a><span class="lineno"> 1072</span>&#160;    }</div>
<div class="line"><a name="l01073"></a><span class="lineno"> 1073</span>&#160;<span class="comment"></span></div>
<div class="line"><a name="l01074"></a><span class="lineno"> 1074</span>&#160;<span class="comment">    /// compute distance of vector i to current query</span></div>
<div class="line"><a name="l01075"></a><span class="lineno"> 1075</span>&#160;<span class="comment"></span>    <span class="keywordtype">float</span> operator () (idx_t i) <span class="keyword">final</span> {</div>
<div class="line"><a name="l01076"></a><span class="lineno"> 1076</span>&#160;        <span class="keywordflow">return</span> compute_distance (q, codes + i * code_size);</div>
<div class="line"><a name="l01077"></a><span class="lineno"> 1077</span>&#160;    }</div>
<div class="line"><a name="l01078"></a><span class="lineno"> 1078</span>&#160;</div>
<div class="line"><a name="l01079"></a><span class="lineno"> 1079</span>&#160;    <span class="keywordtype">float</span> symmetric_dis (idx_t i, idx_t j)<span class="keyword"> override </span>{</div>
<div class="line"><a name="l01080"></a><span class="lineno"> 1080</span>&#160;        <span class="keywordflow">return</span> compute_code_distance (codes + i * code_size,</div>
<div class="line"><a name="l01081"></a><span class="lineno"> 1081</span>&#160;                                      codes + j * code_size);</div>
<div class="line"><a name="l01082"></a><span class="lineno"> 1082</span>&#160;    }</div>
<div class="line"><a name="l01083"></a><span class="lineno"> 1083</span>&#160;</div>
<div class="line"><a name="l01084"></a><span class="lineno"> 1084</span>&#160;    <span class="keywordtype">float</span> query_to_code (<span class="keyword">const</span> uint8_t * code)<span class="keyword"> const </span>{</div>
<div class="line"><a name="l01085"></a><span class="lineno"> 1085</span>&#160;        <span class="keywordflow">return</span> compute_code_distance (tmp.data(), code);</div>
<div class="line"><a name="l01086"></a><span class="lineno"> 1086</span>&#160;    }</div>
<div class="line"><a name="l01087"></a><span class="lineno"> 1087</span>&#160;</div>
<div class="line"><a name="l01088"></a><span class="lineno"> 1088</span>&#160;};</div>
<div class="line"><a name="l01089"></a><span class="lineno"> 1089</span>&#160;</div>
<div class="line"><a name="l01090"></a><span class="lineno"> 1090</span>&#160;<span class="preprocessor">#ifdef USE_AVX</span></div>
<div class="line"><a name="l01091"></a><span class="lineno"> 1091</span>&#160;<span class="preprocessor"></span></div>
<div class="line"><a name="l01092"></a><span class="lineno"> 1092</span>&#160;</div>
<div class="line"><a name="l01093"></a><span class="lineno"> 1093</span>&#160;<span class="keyword">template</span>&lt;<span class="keyword">class</span> Similarity&gt;</div>
<div class="line"><a name="l01094"></a><span class="lineno"> 1094</span>&#160;<span class="keyword">struct </span>DistanceComputerByte&lt;Similarity, 8&gt; : SQDistanceComputer {</div>
<div class="line"><a name="l01095"></a><span class="lineno"> 1095</span>&#160;    <span class="keyword">using</span> Sim = Similarity;</div>
<div class="line"><a name="l01096"></a><span class="lineno"> 1096</span>&#160;</div>
<div class="line"><a name="l01097"></a><span class="lineno"> 1097</span>&#160;    <span class="keywordtype">int</span> d;</div>
<div class="line"><a name="l01098"></a><span class="lineno"> 1098</span>&#160;    std::vector&lt;uint8_t&gt; tmp;</div>
<div class="line"><a name="l01099"></a><span class="lineno"> 1099</span>&#160;</div>
<div class="line"><a name="l01100"></a><span class="lineno"> 1100</span>&#160;    DistanceComputerByte(<span class="keywordtype">int</span> d, <span class="keyword">const</span> std::vector&lt;float&gt; &amp;): d(d), tmp(d) {</div>
<div class="line"><a name="l01101"></a><span class="lineno"> 1101</span>&#160;    }</div>
<div class="line"><a name="l01102"></a><span class="lineno"> 1102</span>&#160;</div>
<div class="line"><a name="l01103"></a><span class="lineno"> 1103</span>&#160;    <span class="keywordtype">int</span> compute_code_distance(<span class="keyword">const</span> uint8_t* code1, <span class="keyword">const</span> uint8_t* code2)<span class="keyword"></span></div>
<div class="line"><a name="l01104"></a><span class="lineno"> 1104</span>&#160;<span class="keyword">        const </span>{</div>
<div class="line"><a name="l01105"></a><span class="lineno"> 1105</span>&#160;        <span class="comment">// __m256i accu = _mm256_setzero_ps ();</span></div>
<div class="line"><a name="l01106"></a><span class="lineno"> 1106</span>&#160;        __m256i accu = _mm256_setzero_si256 ();</div>
<div class="line"><a name="l01107"></a><span class="lineno"> 1107</span>&#160;        <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i &lt; d; i += 16) {</div>
<div class="line"><a name="l01108"></a><span class="lineno"> 1108</span>&#160;            <span class="comment">// load 16 bytes, convert to 16 uint16_t</span></div>
<div class="line"><a name="l01109"></a><span class="lineno"> 1109</span>&#160;            __m256i c1 = _mm256_cvtepu8_epi16</div>
<div class="line"><a name="l01110"></a><span class="lineno"> 1110</span>&#160;                (_mm_loadu_si128((__m128i*)(code1 + i)));</div>
<div class="line"><a name="l01111"></a><span class="lineno"> 1111</span>&#160;            __m256i c2 = _mm256_cvtepu8_epi16</div>
<div class="line"><a name="l01112"></a><span class="lineno"> 1112</span>&#160;                (_mm_loadu_si128((__m128i*)(code2 + i)));</div>
<div class="line"><a name="l01113"></a><span class="lineno"> 1113</span>&#160;            __m256i prod32;</div>
<div class="line"><a name="l01114"></a><span class="lineno"> 1114</span>&#160;            <span class="keywordflow">if</span> (Sim::metric_type == METRIC_INNER_PRODUCT) {</div>
<div class="line"><a name="l01115"></a><span class="lineno"> 1115</span>&#160;                prod32 = _mm256_madd_epi16(c1, c2);</div>
<div class="line"><a name="l01116"></a><span class="lineno"> 1116</span>&#160;            } <span class="keywordflow">else</span> {</div>
<div class="line"><a name="l01117"></a><span class="lineno"> 1117</span>&#160;                __m256i diff = _mm256_sub_epi16(c1, c2);</div>
<div class="line"><a name="l01118"></a><span class="lineno"> 1118</span>&#160;                prod32 = _mm256_madd_epi16(diff, diff);</div>
<div class="line"><a name="l01119"></a><span class="lineno"> 1119</span>&#160;            }</div>
<div class="line"><a name="l01120"></a><span class="lineno"> 1120</span>&#160;            accu = _mm256_add_epi32 (accu, prod32);</div>
<div class="line"><a name="l01121"></a><span class="lineno"> 1121</span>&#160;</div>
<div class="line"><a name="l01122"></a><span class="lineno"> 1122</span>&#160;        }</div>
<div class="line"><a name="l01123"></a><span class="lineno"> 1123</span>&#160;        __m128i sum = _mm256_extractf128_si256(accu, 0);</div>
<div class="line"><a name="l01124"></a><span class="lineno"> 1124</span>&#160;        sum = _mm_add_epi32 (sum, _mm256_extractf128_si256(accu, 1));</div>
<div class="line"><a name="l01125"></a><span class="lineno"> 1125</span>&#160;        sum = _mm_hadd_epi32 (sum, sum);</div>
<div class="line"><a name="l01126"></a><span class="lineno"> 1126</span>&#160;        sum = _mm_hadd_epi32 (sum, sum);</div>
<div class="line"><a name="l01127"></a><span class="lineno"> 1127</span>&#160;        <span class="keywordflow">return</span> _mm_cvtsi128_si32 (sum);</div>
<div class="line"><a name="l01128"></a><span class="lineno"> 1128</span>&#160;    }</div>
<div class="line"><a name="l01129"></a><span class="lineno"> 1129</span>&#160;</div>
<div class="line"><a name="l01130"></a><span class="lineno"> 1130</span>&#160;    <span class="keywordtype">void</span> set_query (<span class="keyword">const</span> <span class="keywordtype">float</span> *x) <span class="keyword">final</span> {</div>
<div class="line"><a name="l01131"></a><span class="lineno"> 1131</span>&#160;        <span class="comment">/*</span></div>
<div class="line"><a name="l01132"></a><span class="lineno"> 1132</span>&#160;<span class="comment">        for (int i = 0; i &lt; d; i += 8) {</span></div>
<div class="line"><a name="l01133"></a><span class="lineno"> 1133</span>&#160;<span class="comment">            __m256 xi = _mm256_loadu_ps (x + i);</span></div>
<div class="line"><a name="l01134"></a><span class="lineno"> 1134</span>&#160;<span class="comment">            __m256i ci = _mm256_cvtps_epi32(xi);</span></div>
<div class="line"><a name="l01135"></a><span class="lineno"> 1135</span>&#160;<span class="comment">        */</span></div>
<div class="line"><a name="l01136"></a><span class="lineno"> 1136</span>&#160;        <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i &lt; d; i++) {</div>
<div class="line"><a name="l01137"></a><span class="lineno"> 1137</span>&#160;            tmp[i] = int(x[i]);</div>
<div class="line"><a name="l01138"></a><span class="lineno"> 1138</span>&#160;        }</div>
<div class="line"><a name="l01139"></a><span class="lineno"> 1139</span>&#160;    }</div>
<div class="line"><a name="l01140"></a><span class="lineno"> 1140</span>&#160;</div>
<div class="line"><a name="l01141"></a><span class="lineno"> 1141</span>&#160;    <span class="keywordtype">int</span> compute_distance(<span class="keyword">const</span> <span class="keywordtype">float</span>* x, <span class="keyword">const</span> uint8_t* code) {</div>
<div class="line"><a name="l01142"></a><span class="lineno"> 1142</span>&#160;        set_query(x);</div>
<div class="line"><a name="l01143"></a><span class="lineno"> 1143</span>&#160;        <span class="keywordflow">return</span> compute_code_distance(tmp.data(), code);</div>
<div class="line"><a name="l01144"></a><span class="lineno"> 1144</span>&#160;    }</div>
<div class="line"><a name="l01145"></a><span class="lineno"> 1145</span>&#160;<span class="comment"></span></div>
<div class="line"><a name="l01146"></a><span class="lineno"> 1146</span>&#160;<span class="comment">    /// compute distance of vector i to current query</span></div>
<div class="line"><a name="l01147"></a><span class="lineno"> 1147</span>&#160;<span class="comment"></span>    <span class="keywordtype">float</span> operator () (idx_t i) <span class="keyword">final</span> {</div>
<div class="line"><a name="l01148"></a><span class="lineno"> 1148</span>&#160;        <span class="keywordflow">return</span> compute_distance (q, codes + i * code_size);</div>
<div class="line"><a name="l01149"></a><span class="lineno"> 1149</span>&#160;    }</div>
<div class="line"><a name="l01150"></a><span class="lineno"> 1150</span>&#160;</div>
<div class="line"><a name="l01151"></a><span class="lineno"> 1151</span>&#160;    <span class="keywordtype">float</span> symmetric_dis (idx_t i, idx_t j)<span class="keyword"> override </span>{</div>
<div class="line"><a name="l01152"></a><span class="lineno"> 1152</span>&#160;        <span class="keywordflow">return</span> compute_code_distance (codes + i * code_size,</div>
<div class="line"><a name="l01153"></a><span class="lineno"> 1153</span>&#160;                                      codes + j * code_size);</div>
<div class="line"><a name="l01154"></a><span class="lineno"> 1154</span>&#160;    }</div>
<div class="line"><a name="l01155"></a><span class="lineno"> 1155</span>&#160;</div>
<div class="line"><a name="l01156"></a><span class="lineno"> 1156</span>&#160;    <span class="keywordtype">float</span> query_to_code (<span class="keyword">const</span> uint8_t * code)<span class="keyword"> const </span>{</div>
<div class="line"><a name="l01157"></a><span class="lineno"> 1157</span>&#160;        <span class="keywordflow">return</span> compute_code_distance (tmp.data(), code);</div>
<div class="line"><a name="l01158"></a><span class="lineno"> 1158</span>&#160;    }</div>
<div class="line"><a name="l01159"></a><span class="lineno"> 1159</span>&#160;</div>
<div class="line"><a name="l01160"></a><span class="lineno"> 1160</span>&#160;</div>
<div class="line"><a name="l01161"></a><span class="lineno"> 1161</span>&#160;};</div>
<div class="line"><a name="l01162"></a><span class="lineno"> 1162</span>&#160;</div>
<div class="line"><a name="l01163"></a><span class="lineno"> 1163</span>&#160;<span class="preprocessor">#endif</span></div>
<div class="line"><a name="l01164"></a><span class="lineno"> 1164</span>&#160;<span class="preprocessor"></span></div>
<div class="line"><a name="l01165"></a><span class="lineno"> 1165</span>&#160;<span class="comment">/*******************************************************************</span></div>
<div class="line"><a name="l01166"></a><span class="lineno"> 1166</span>&#160;<span class="comment"> * select_distance_computer: runtime selection of template</span></div>
<div class="line"><a name="l01167"></a><span class="lineno"> 1167</span>&#160;<span class="comment"> * specialization</span></div>
<div class="line"><a name="l01168"></a><span class="lineno"> 1168</span>&#160;<span class="comment"> *******************************************************************/</span></div>
<div class="line"><a name="l01169"></a><span class="lineno"> 1169</span>&#160;</div>
<div class="line"><a name="l01170"></a><span class="lineno"> 1170</span>&#160;</div>
<div class="line"><a name="l01171"></a><span class="lineno"> 1171</span>&#160;<span class="keyword">template</span>&lt;<span class="keyword">class</span> Sim&gt;</div>
<div class="line"><a name="l01172"></a><span class="lineno"> 1172</span>&#160;SQDistanceComputer *select_distance_computer (</div>
<div class="line"><a name="l01173"></a><span class="lineno"> 1173</span>&#160;          QuantizerType qtype,</div>
<div class="line"><a name="l01174"></a><span class="lineno"> 1174</span>&#160;          <span class="keywordtype">size_t</span> d, <span class="keyword">const</span> std::vector&lt;float&gt; &amp; trained)</div>
<div class="line"><a name="l01175"></a><span class="lineno"> 1175</span>&#160;{</div>
<div class="line"><a name="l01176"></a><span class="lineno"> 1176</span>&#160;    constexpr <span class="keywordtype">int</span> SIMDWIDTH = Sim::simdwidth;</div>
<div class="line"><a name="l01177"></a><span class="lineno"> 1177</span>&#160;    <span class="keywordflow">switch</span>(qtype) {</div>
<div class="line"><a name="l01178"></a><span class="lineno"> 1178</span>&#160;    <span class="keywordflow">case</span> <a class="code" href="structfaiss_1_1ScalarQuantizer.html#a1201dbd1611fa5c10782ade5d0e4952ea029f07a15ea64e7e73daaf9633ac429a">ScalarQuantizer::QT_8bit_uniform</a>:</div>
<div class="line"><a name="l01179"></a><span class="lineno"> 1179</span>&#160;        <span class="keywordflow">return</span> <span class="keyword">new</span> DCTemplate&lt;QuantizerTemplate&lt;Codec8bit, true, SIMDWIDTH&gt;,</div>
<div class="line"><a name="l01180"></a><span class="lineno"> 1180</span>&#160;                              Sim, SIMDWIDTH&gt;(d, trained);</div>
<div class="line"><a name="l01181"></a><span class="lineno"> 1181</span>&#160;</div>
<div class="line"><a name="l01182"></a><span class="lineno"> 1182</span>&#160;    <span class="keywordflow">case</span> ScalarQuantizer::QT_4bit_uniform:</div>
<div class="line"><a name="l01183"></a><span class="lineno"> 1183</span>&#160;        <span class="keywordflow">return</span> <span class="keyword">new</span> DCTemplate&lt;QuantizerTemplate&lt;Codec4bit, true, SIMDWIDTH&gt;,</div>
<div class="line"><a name="l01184"></a><span class="lineno"> 1184</span>&#160;                              Sim, SIMDWIDTH&gt;(d, trained);</div>
<div class="line"><a name="l01185"></a><span class="lineno"> 1185</span>&#160;</div>
<div class="line"><a name="l01186"></a><span class="lineno"> 1186</span>&#160;    <span class="keywordflow">case</span> <a class="code" href="structfaiss_1_1ScalarQuantizer.html#a1201dbd1611fa5c10782ade5d0e4952ea1650389e3efa052ff60177d502328a2c">ScalarQuantizer::QT_8bit</a>:</div>
<div class="line"><a name="l01187"></a><span class="lineno"> 1187</span>&#160;        <span class="keywordflow">return</span> <span class="keyword">new</span> DCTemplate&lt;QuantizerTemplate&lt;Codec8bit, false, SIMDWIDTH&gt;,</div>
<div class="line"><a name="l01188"></a><span class="lineno"> 1188</span>&#160;                              Sim, SIMDWIDTH&gt;(d, trained);</div>
<div class="line"><a name="l01189"></a><span class="lineno"> 1189</span>&#160;</div>
<div class="line"><a name="l01190"></a><span class="lineno"> 1190</span>&#160;    <span class="keywordflow">case</span> <a class="code" href="structfaiss_1_1ScalarQuantizer.html#a1201dbd1611fa5c10782ade5d0e4952eaf654ce120baf92b9ac3c43592744fbf8">ScalarQuantizer::QT_6bit</a>:</div>
<div class="line"><a name="l01191"></a><span class="lineno"> 1191</span>&#160;        <span class="keywordflow">return</span> <span class="keyword">new</span> DCTemplate&lt;QuantizerTemplate&lt;Codec6bit, false, SIMDWIDTH&gt;,</div>
<div class="line"><a name="l01192"></a><span class="lineno"> 1192</span>&#160;                              Sim, SIMDWIDTH&gt;(d, trained);</div>
<div class="line"><a name="l01193"></a><span class="lineno"> 1193</span>&#160;</div>
<div class="line"><a name="l01194"></a><span class="lineno"> 1194</span>&#160;    <span class="keywordflow">case</span> <a class="code" href="structfaiss_1_1ScalarQuantizer.html#a1201dbd1611fa5c10782ade5d0e4952eacd3d1bd71533a7bc52149e4b3d1db13b">ScalarQuantizer::QT_4bit</a>:</div>
<div class="line"><a name="l01195"></a><span class="lineno"> 1195</span>&#160;        <span class="keywordflow">return</span> <span class="keyword">new</span> DCTemplate&lt;QuantizerTemplate&lt;Codec4bit, false, SIMDWIDTH&gt;,</div>
<div class="line"><a name="l01196"></a><span class="lineno"> 1196</span>&#160;                              Sim, SIMDWIDTH&gt;(d, trained);</div>
<div class="line"><a name="l01197"></a><span class="lineno"> 1197</span>&#160;</div>
<div class="line"><a name="l01198"></a><span class="lineno"> 1198</span>&#160;    <span class="keywordflow">case</span> ScalarQuantizer::QT_fp16:</div>
<div class="line"><a name="l01199"></a><span class="lineno"> 1199</span>&#160;        <span class="keywordflow">return</span> <span class="keyword">new</span> DCTemplate</div>
<div class="line"><a name="l01200"></a><span class="lineno"> 1200</span>&#160;            &lt;QuantizerFP16&lt;SIMDWIDTH&gt;, Sim, SIMDWIDTH&gt;(d, trained);</div>
<div class="line"><a name="l01201"></a><span class="lineno"> 1201</span>&#160;</div>
<div class="line"><a name="l01202"></a><span class="lineno"> 1202</span>&#160;    <span class="keywordflow">case</span> ScalarQuantizer::QT_8bit_direct:</div>
<div class="line"><a name="l01203"></a><span class="lineno"> 1203</span>&#160;        <span class="keywordflow">if</span> (d % 16 == 0) {</div>
<div class="line"><a name="l01204"></a><span class="lineno"> 1204</span>&#160;            <span class="keywordflow">return</span> <span class="keyword">new</span> DistanceComputerByte&lt;Sim, SIMDWIDTH&gt;(d, trained);</div>
<div class="line"><a name="l01205"></a><span class="lineno"> 1205</span>&#160;        } <span class="keywordflow">else</span> {</div>
<div class="line"><a name="l01206"></a><span class="lineno"> 1206</span>&#160;            <span class="keywordflow">return</span> <span class="keyword">new</span> DCTemplate</div>
<div class="line"><a name="l01207"></a><span class="lineno"> 1207</span>&#160;                &lt;Quantizer8bitDirect&lt;SIMDWIDTH&gt;, Sim, SIMDWIDTH&gt;(d, trained);</div>
<div class="line"><a name="l01208"></a><span class="lineno"> 1208</span>&#160;        }</div>
<div class="line"><a name="l01209"></a><span class="lineno"> 1209</span>&#160;    }</div>
<div class="line"><a name="l01210"></a><span class="lineno"> 1210</span>&#160;    FAISS_THROW_MSG (<span class="stringliteral">&quot;unknown qtype&quot;</span>);</div>
<div class="line"><a name="l01211"></a><span class="lineno"> 1211</span>&#160;    <span class="keywordflow">return</span> <span class="keyword">nullptr</span>;</div>
<div class="line"><a name="l01212"></a><span class="lineno"> 1212</span>&#160;}</div>
<div class="line"><a name="l01213"></a><span class="lineno"> 1213</span>&#160;</div>
<div class="line"><a name="l01214"></a><span class="lineno"> 1214</span>&#160;</div>
<div class="line"><a name="l01215"></a><span class="lineno"> 1215</span>&#160;</div>
<div class="line"><a name="l01216"></a><span class="lineno"> 1216</span>&#160;} <span class="comment">// anonymous namespace</span></div>
<div class="line"><a name="l01217"></a><span class="lineno"> 1217</span>&#160;</div>
<div class="line"><a name="l01218"></a><span class="lineno"> 1218</span>&#160;</div>
<div class="line"><a name="l01219"></a><span class="lineno"> 1219</span>&#160;</div>
<div class="line"><a name="l01220"></a><span class="lineno"> 1220</span>&#160;<span class="comment">/*******************************************************************</span></div>
<div class="line"><a name="l01221"></a><span class="lineno"> 1221</span>&#160;<span class="comment"> * ScalarQuantizer implementation</span></div>
<div class="line"><a name="l01222"></a><span class="lineno"> 1222</span>&#160;<span class="comment"> ********************************************************************/</span></div>
<div class="line"><a name="l01223"></a><span class="lineno"> 1223</span>&#160;</div>
<div class="line"><a name="l01224"></a><span class="lineno"> 1224</span>&#160;ScalarQuantizer::ScalarQuantizer</div>
<div class="line"><a name="l01225"></a><span class="lineno"> 1225</span>&#160;          (<span class="keywordtype">size_t</span> d, QuantizerType qtype):</div>
<div class="line"><a name="l01226"></a><span class="lineno"> 1226</span>&#160;              qtype (qtype), rangestat(RS_minmax), rangestat_arg(0), d (d)</div>
<div class="line"><a name="l01227"></a><span class="lineno"> 1227</span>&#160;{</div>
<div class="line"><a name="l01228"></a><span class="lineno"> 1228</span>&#160;    <span class="keywordflow">switch</span> (qtype) {</div>
<div class="line"><a name="l01229"></a><span class="lineno"> 1229</span>&#160;    <span class="keywordflow">case</span> QT_8bit:</div>
<div class="line"><a name="l01230"></a><span class="lineno"> 1230</span>&#160;    <span class="keywordflow">case</span> QT_8bit_uniform:</div>
<div class="line"><a name="l01231"></a><span class="lineno"> 1231</span>&#160;    <span class="keywordflow">case</span> QT_8bit_direct:</div>
<div class="line"><a name="l01232"></a><span class="lineno"> 1232</span>&#160;        code_size = d;</div>
<div class="line"><a name="l01233"></a><span class="lineno"> 1233</span>&#160;        <span class="keywordflow">break</span>;</div>
<div class="line"><a name="l01234"></a><span class="lineno"> 1234</span>&#160;    <span class="keywordflow">case</span> QT_4bit:</div>
<div class="line"><a name="l01235"></a><span class="lineno"> 1235</span>&#160;    <span class="keywordflow">case</span> QT_4bit_uniform:</div>
<div class="line"><a name="l01236"></a><span class="lineno"> 1236</span>&#160;        code_size = (d + 1) / 2;</div>
<div class="line"><a name="l01237"></a><span class="lineno"> 1237</span>&#160;        <span class="keywordflow">break</span>;</div>
<div class="line"><a name="l01238"></a><span class="lineno"> 1238</span>&#160;    <span class="keywordflow">case</span> QT_6bit:</div>
<div class="line"><a name="l01239"></a><span class="lineno"> 1239</span>&#160;        code_size = (d * 6 + 7) / 8;</div>
<div class="line"><a name="l01240"></a><span class="lineno"> 1240</span>&#160;        <span class="keywordflow">break</span>;</div>
<div class="line"><a name="l01241"></a><span class="lineno"> 1241</span>&#160;    <span class="keywordflow">case</span> QT_fp16:</div>
<div class="line"><a name="l01242"></a><span class="lineno"> 1242</span>&#160;        code_size = d * 2;</div>
<div class="line"><a name="l01243"></a><span class="lineno"> 1243</span>&#160;        <span class="keywordflow">break</span>;</div>
<div class="line"><a name="l01244"></a><span class="lineno"> 1244</span>&#160;    }</div>
<div class="line"><a name="l01245"></a><span class="lineno"> 1245</span>&#160;</div>
<div class="line"><a name="l01246"></a><span class="lineno"> 1246</span>&#160;}</div>
<div class="line"><a name="l01247"></a><span class="lineno"> 1247</span>&#160;</div>
<div class="line"><a name="l01248"></a><span class="lineno"> 1248</span>&#160;ScalarQuantizer::ScalarQuantizer ():</div>
<div class="line"><a name="l01249"></a><span class="lineno"> 1249</span>&#160;    qtype(QT_8bit),</div>
<div class="line"><a name="l01250"></a><span class="lineno"> 1250</span>&#160;    rangestat(RS_minmax), rangestat_arg(0), d (0), code_size(0)</div>
<div class="line"><a name="l01251"></a><span class="lineno"> 1251</span>&#160;{}</div>
<div class="line"><a name="l01252"></a><span class="lineno"> 1252</span>&#160;</div>
<div class="line"><a name="l01253"></a><span class="lineno"> 1253</span>&#160;<span class="keywordtype">void</span> ScalarQuantizer::train (<span class="keywordtype">size_t</span> n, <span class="keyword">const</span> <span class="keywordtype">float</span> *x)</div>
<div class="line"><a name="l01254"></a><span class="lineno"> 1254</span>&#160;{</div>
<div class="line"><a name="l01255"></a><span class="lineno"> 1255</span>&#160;    <span class="keywordtype">int</span> bit_per_dim =</div>
<div class="line"><a name="l01256"></a><span class="lineno"> 1256</span>&#160;        qtype == QT_4bit_uniform ? 4 :</div>
<div class="line"><a name="l01257"></a><span class="lineno"> 1257</span>&#160;        qtype == <a class="code" href="structfaiss_1_1ScalarQuantizer.html#a1201dbd1611fa5c10782ade5d0e4952eacd3d1bd71533a7bc52149e4b3d1db13b">QT_4bit</a> ? 4 :</div>
<div class="line"><a name="l01258"></a><span class="lineno"> 1258</span>&#160;        qtype == <a class="code" href="structfaiss_1_1ScalarQuantizer.html#a1201dbd1611fa5c10782ade5d0e4952eaf654ce120baf92b9ac3c43592744fbf8">QT_6bit</a> ? 6 :</div>
<div class="line"><a name="l01259"></a><span class="lineno"> 1259</span>&#160;        qtype == <a class="code" href="structfaiss_1_1ScalarQuantizer.html#a1201dbd1611fa5c10782ade5d0e4952ea029f07a15ea64e7e73daaf9633ac429a">QT_8bit_uniform</a> ? 8 :</div>
<div class="line"><a name="l01260"></a><span class="lineno"> 1260</span>&#160;        qtype == <a class="code" href="structfaiss_1_1ScalarQuantizer.html#a1201dbd1611fa5c10782ade5d0e4952ea1650389e3efa052ff60177d502328a2c">QT_8bit</a> ? 8 : -1;</div>
<div class="line"><a name="l01261"></a><span class="lineno"> 1261</span>&#160;</div>
<div class="line"><a name="l01262"></a><span class="lineno"> 1262</span>&#160;    <span class="keywordflow">switch</span> (qtype) {</div>
<div class="line"><a name="l01263"></a><span class="lineno"> 1263</span>&#160;    <span class="keywordflow">case</span> QT_4bit_uniform: <span class="keywordflow">case</span> <a class="code" href="structfaiss_1_1ScalarQuantizer.html#a1201dbd1611fa5c10782ade5d0e4952ea029f07a15ea64e7e73daaf9633ac429a">QT_8bit_uniform</a>:</div>
<div class="line"><a name="l01264"></a><span class="lineno"> 1264</span>&#160;        train_Uniform (rangestat, rangestat_arg,</div>
<div class="line"><a name="l01265"></a><span class="lineno"> 1265</span>&#160;                       n * d, 1 &lt;&lt; bit_per_dim, x, trained);</div>
<div class="line"><a name="l01266"></a><span class="lineno"> 1266</span>&#160;        <span class="keywordflow">break</span>;</div>
<div class="line"><a name="l01267"></a><span class="lineno"> 1267</span>&#160;    <span class="keywordflow">case</span> <a class="code" href="structfaiss_1_1ScalarQuantizer.html#a1201dbd1611fa5c10782ade5d0e4952eacd3d1bd71533a7bc52149e4b3d1db13b">QT_4bit</a>: <span class="keywordflow">case</span> <a class="code" href="structfaiss_1_1ScalarQuantizer.html#a1201dbd1611fa5c10782ade5d0e4952ea1650389e3efa052ff60177d502328a2c">QT_8bit</a>: <span class="keywordflow">case</span> <a class="code" href="structfaiss_1_1ScalarQuantizer.html#a1201dbd1611fa5c10782ade5d0e4952eaf654ce120baf92b9ac3c43592744fbf8">QT_6bit</a>:</div>
<div class="line"><a name="l01268"></a><span class="lineno"> 1268</span>&#160;        train_NonUniform (rangestat, rangestat_arg,</div>
<div class="line"><a name="l01269"></a><span class="lineno"> 1269</span>&#160;                          n, d, 1 &lt;&lt; bit_per_dim, x, trained);</div>
<div class="line"><a name="l01270"></a><span class="lineno"> 1270</span>&#160;        <span class="keywordflow">break</span>;</div>
<div class="line"><a name="l01271"></a><span class="lineno"> 1271</span>&#160;    <span class="keywordflow">case</span> QT_fp16:</div>
<div class="line"><a name="l01272"></a><span class="lineno"> 1272</span>&#160;    <span class="keywordflow">case</span> QT_8bit_direct:</div>
<div class="line"><a name="l01273"></a><span class="lineno"> 1273</span>&#160;        <span class="comment">// no training necessary</span></div>
<div class="line"><a name="l01274"></a><span class="lineno"> 1274</span>&#160;        <span class="keywordflow">break</span>;</div>
<div class="line"><a name="l01275"></a><span class="lineno"> 1275</span>&#160;    }</div>
<div class="line"><a name="l01276"></a><span class="lineno"> 1276</span>&#160;}</div>
<div class="line"><a name="l01277"></a><span class="lineno"> 1277</span>&#160;</div>
<div class="line"><a name="l01278"></a><span class="lineno"><a class="line" href="structfaiss_1_1ScalarQuantizer.html#a2bccf276565c4f80fed3d0c715c58816"> 1278</a></span>&#160;<span class="keywordtype">void</span> <a class="code" href="structfaiss_1_1ScalarQuantizer.html#a2bccf276565c4f80fed3d0c715c58816">ScalarQuantizer::compute_codes</a> (<span class="keyword">const</span> <span class="keywordtype">float</span> * x,</div>
<div class="line"><a name="l01279"></a><span class="lineno"> 1279</span>&#160;                                     uint8_t * codes,</div>
<div class="line"><a name="l01280"></a><span class="lineno"> 1280</span>&#160;                                     <span class="keywordtype">size_t</span> n)<span class="keyword"> const</span></div>
<div class="line"><a name="l01281"></a><span class="lineno"> 1281</span>&#160;<span class="keyword"></span>{</div>
<div class="line"><a name="l01282"></a><span class="lineno"> 1282</span>&#160;    Quantizer *squant = select_quantizer (*<span class="keyword">this</span>);</div>
<div class="line"><a name="l01283"></a><span class="lineno"> 1283</span>&#160;    <a class="code" href="structfaiss_1_1ScopeDeleter1.html">ScopeDeleter1&lt;Quantizer&gt;</a> del(squant);</div>
<div class="line"><a name="l01284"></a><span class="lineno"> 1284</span>&#160;    memset (codes, 0, <a class="code" href="structfaiss_1_1ScalarQuantizer.html#a647b8774e4cd8ca5623a194f5c7f8a33">code_size</a> * n);</div>
<div class="line"><a name="l01285"></a><span class="lineno"> 1285</span>&#160;<span class="preprocessor">#pragma omp parallel for</span></div>
<div class="line"><a name="l01286"></a><span class="lineno"> 1286</span>&#160;<span class="preprocessor"></span>    <span class="keywordflow">for</span> (<span class="keywordtype">size_t</span> i = 0; i &lt; n; i++)</div>
<div class="line"><a name="l01287"></a><span class="lineno"> 1287</span>&#160;        squant-&gt;encode_vector (x + i * d, codes + i * <a class="code" href="structfaiss_1_1ScalarQuantizer.html#a647b8774e4cd8ca5623a194f5c7f8a33">code_size</a>);</div>
<div class="line"><a name="l01288"></a><span class="lineno"> 1288</span>&#160;}</div>
<div class="line"><a name="l01289"></a><span class="lineno"> 1289</span>&#160;</div>
<div class="line"><a name="l01290"></a><span class="lineno"><a class="line" href="structfaiss_1_1ScalarQuantizer.html#a7ab9e9158da1777d45e6f9bf73bfd489"> 1290</a></span>&#160;<span class="keywordtype">void</span> <a class="code" href="structfaiss_1_1ScalarQuantizer.html#a7ab9e9158da1777d45e6f9bf73bfd489">ScalarQuantizer::decode</a> (<span class="keyword">const</span> uint8_t *codes, <span class="keywordtype">float</span> *x, <span class="keywordtype">size_t</span> n)<span class="keyword"> const</span></div>
<div class="line"><a name="l01291"></a><span class="lineno"> 1291</span>&#160;<span class="keyword"></span>{</div>
<div class="line"><a name="l01292"></a><span class="lineno"> 1292</span>&#160;    Quantizer *squant = select_quantizer (*<span class="keyword">this</span>);</div>
<div class="line"><a name="l01293"></a><span class="lineno"> 1293</span>&#160;    <a class="code" href="structfaiss_1_1ScopeDeleter1.html">ScopeDeleter1&lt;Quantizer&gt;</a> del(squant);</div>
<div class="line"><a name="l01294"></a><span class="lineno"> 1294</span>&#160;<span class="preprocessor">#pragma omp parallel for</span></div>
<div class="line"><a name="l01295"></a><span class="lineno"> 1295</span>&#160;<span class="preprocessor"></span>    <span class="keywordflow">for</span> (<span class="keywordtype">size_t</span> i = 0; i &lt; n; i++)</div>
<div class="line"><a name="l01296"></a><span class="lineno"> 1296</span>&#160;        squant-&gt;decode_vector (codes + i * <a class="code" href="structfaiss_1_1ScalarQuantizer.html#a647b8774e4cd8ca5623a194f5c7f8a33">code_size</a>, x + i * d);</div>
<div class="line"><a name="l01297"></a><span class="lineno"> 1297</span>&#160;}</div>
<div class="line"><a name="l01298"></a><span class="lineno"> 1298</span>&#160;</div>
<div class="line"><a name="l01299"></a><span class="lineno"> 1299</span>&#160;</div>
<div class="line"><a name="l01300"></a><span class="lineno"> 1300</span>&#160;<a class="code" href="structfaiss_1_1SQDistanceComputer.html">SQDistanceComputer</a> *</div>
<div class="line"><a name="l01301"></a><span class="lineno"> 1301</span>&#160;ScalarQuantizer::get_distance_computer (<a class="code" href="namespacefaiss.html#afd12191c638da74760ff397cf319752c">MetricType</a> metric)<span class="keyword"> const</span></div>
<div class="line"><a name="l01302"></a><span class="lineno"> 1302</span>&#160;<span class="keyword"></span>{</div>
<div class="line"><a name="l01303"></a><span class="lineno"> 1303</span>&#160;<span class="preprocessor">#ifdef USE_AVX</span></div>
<div class="line"><a name="l01304"></a><span class="lineno"> 1304</span>&#160;<span class="preprocessor"></span>    <span class="keywordflow">if</span> (d % 8 == 0) {</div>
<div class="line"><a name="l01305"></a><span class="lineno"> 1305</span>&#160;        <span class="keywordflow">if</span> (metric == METRIC_L2) {</div>
<div class="line"><a name="l01306"></a><span class="lineno"> 1306</span>&#160;            <span class="keywordflow">return</span> select_distance_computer&lt;SimilarityL2&lt;8&gt; &gt;</div>
<div class="line"><a name="l01307"></a><span class="lineno"> 1307</span>&#160;                (qtype, <a class="code" href="structfaiss_1_1ScalarQuantizer.html#acd88af01ad1d06560cecc30bc38aef49">d</a>, <a class="code" href="structfaiss_1_1ScalarQuantizer.html#a30b411b10780a74079bbbfaff678c86f">trained</a>);</div>
<div class="line"><a name="l01308"></a><span class="lineno"> 1308</span>&#160;        } <span class="keywordflow">else</span> {</div>
<div class="line"><a name="l01309"></a><span class="lineno"> 1309</span>&#160;            <span class="keywordflow">return</span> select_distance_computer&lt;SimilarityIP&lt;8&gt; &gt;</div>
<div class="line"><a name="l01310"></a><span class="lineno"> 1310</span>&#160;                (qtype, <a class="code" href="structfaiss_1_1ScalarQuantizer.html#acd88af01ad1d06560cecc30bc38aef49">d</a>, <a class="code" href="structfaiss_1_1ScalarQuantizer.html#a30b411b10780a74079bbbfaff678c86f">trained</a>);</div>
<div class="line"><a name="l01311"></a><span class="lineno"> 1311</span>&#160;        }</div>
<div class="line"><a name="l01312"></a><span class="lineno"> 1312</span>&#160;    } <span class="keywordflow">else</span></div>
<div class="line"><a name="l01313"></a><span class="lineno"> 1313</span>&#160;<span class="preprocessor">#endif</span></div>
<div class="line"><a name="l01314"></a><span class="lineno"> 1314</span>&#160;<span class="preprocessor"></span>    {</div>
<div class="line"><a name="l01315"></a><span class="lineno"> 1315</span>&#160;        <span class="keywordflow">if</span> (metric == METRIC_L2) {</div>
<div class="line"><a name="l01316"></a><span class="lineno"> 1316</span>&#160;            <span class="keywordflow">return</span> select_distance_computer&lt;SimilarityL2&lt;1&gt; &gt;</div>
<div class="line"><a name="l01317"></a><span class="lineno"> 1317</span>&#160;                (qtype, <a class="code" href="structfaiss_1_1ScalarQuantizer.html#acd88af01ad1d06560cecc30bc38aef49">d</a>, <a class="code" href="structfaiss_1_1ScalarQuantizer.html#a30b411b10780a74079bbbfaff678c86f">trained</a>);</div>
<div class="line"><a name="l01318"></a><span class="lineno"> 1318</span>&#160;        } <span class="keywordflow">else</span> {</div>
<div class="line"><a name="l01319"></a><span class="lineno"> 1319</span>&#160;            <span class="keywordflow">return</span> select_distance_computer&lt;SimilarityIP&lt;1&gt; &gt;</div>
<div class="line"><a name="l01320"></a><span class="lineno"> 1320</span>&#160;                (qtype, <a class="code" href="structfaiss_1_1ScalarQuantizer.html#acd88af01ad1d06560cecc30bc38aef49">d</a>, <a class="code" href="structfaiss_1_1ScalarQuantizer.html#a30b411b10780a74079bbbfaff678c86f">trained</a>);</div>
<div class="line"><a name="l01321"></a><span class="lineno"> 1321</span>&#160;        }</div>
<div class="line"><a name="l01322"></a><span class="lineno"> 1322</span>&#160;    }</div>
<div class="line"><a name="l01323"></a><span class="lineno"> 1323</span>&#160;}</div>
<div class="line"><a name="l01324"></a><span class="lineno"> 1324</span>&#160;</div>
<div class="line"><a name="l01325"></a><span class="lineno"> 1325</span>&#160;</div>
<div class="line"><a name="l01326"></a><span class="lineno"> 1326</span>&#160;<span class="comment">/*******************************************************************</span></div>
<div class="line"><a name="l01327"></a><span class="lineno"> 1327</span>&#160;<span class="comment"> * IndexScalarQuantizer/IndexIVFScalarQuantizer scanner object</span></div>
<div class="line"><a name="l01328"></a><span class="lineno"> 1328</span>&#160;<span class="comment"> *</span></div>
<div class="line"><a name="l01329"></a><span class="lineno"> 1329</span>&#160;<span class="comment"> * It is an InvertedListScanner, but is designed to work with</span></div>
<div class="line"><a name="l01330"></a><span class="lineno"> 1330</span>&#160;<span class="comment"> * IndexScalarQuantizer as well.</span></div>
<div class="line"><a name="l01331"></a><span class="lineno"> 1331</span>&#160;<span class="comment"> ********************************************************************/</span></div>
<div class="line"><a name="l01332"></a><span class="lineno"> 1332</span>&#160;</div>
<div class="line"><a name="l01333"></a><span class="lineno"> 1333</span>&#160;<span class="keyword">namespace </span>{</div>
<div class="line"><a name="l01334"></a><span class="lineno"> 1334</span>&#160;</div>
<div class="line"><a name="l01335"></a><span class="lineno"> 1335</span>&#160;</div>
<div class="line"><a name="l01336"></a><span class="lineno"> 1336</span>&#160;<span class="keyword">template</span>&lt;<span class="keyword">class</span> DCClass&gt;</div>
<div class="line"><a name="l01337"></a><span class="lineno"> 1337</span>&#160;<span class="keyword">struct </span>IVFSQScannerIP: InvertedListScanner {</div>
<div class="line"><a name="l01338"></a><span class="lineno"> 1338</span>&#160;    DCClass dc;</div>
<div class="line"><a name="l01339"></a><span class="lineno"> 1339</span>&#160;    <span class="keywordtype">bool</span> store_pairs, by_residual;</div>
<div class="line"><a name="l01340"></a><span class="lineno"> 1340</span>&#160;</div>
<div class="line"><a name="l01341"></a><span class="lineno"> 1341</span>&#160;    <span class="keywordtype">size_t</span> code_size;</div>
<div class="line"><a name="l01342"></a><span class="lineno"> 1342</span>&#160;</div>
<div class="line"><a name="l01343"></a><span class="lineno"> 1343</span>&#160;    idx_t list_no;  <span class="comment">/// current list (set to 0 for Flat index</span></div>
<div class="line"><a name="l01344"></a><span class="lineno"> 1344</span>&#160;<span class="comment"></span>    <span class="keywordtype">float</span> accu0;    <span class="comment">/// added to all distances</span></div>
<div class="line"><a name="l01345"></a><span class="lineno"> 1345</span>&#160;<span class="comment"></span></div>
<div class="line"><a name="l01346"></a><span class="lineno"> 1346</span>&#160;    IVFSQScannerIP(<span class="keywordtype">int</span> d, <span class="keyword">const</span> std::vector&lt;float&gt; &amp; trained,</div>
<div class="line"><a name="l01347"></a><span class="lineno"> 1347</span>&#160;                   <span class="keywordtype">size_t</span> code_size, <span class="keywordtype">bool</span> store_pairs,</div>
<div class="line"><a name="l01348"></a><span class="lineno"> 1348</span>&#160;                   <span class="keywordtype">bool</span> by_residual):</div>
<div class="line"><a name="l01349"></a><span class="lineno"> 1349</span>&#160;        dc(d, trained), store_pairs(store_pairs),</div>
<div class="line"><a name="l01350"></a><span class="lineno"> 1350</span>&#160;        by_residual(by_residual),</div>
<div class="line"><a name="l01351"></a><span class="lineno"> 1351</span>&#160;        code_size(code_size), list_no(0), accu0(0)</div>
<div class="line"><a name="l01352"></a><span class="lineno"> 1352</span>&#160;    {}</div>
<div class="line"><a name="l01353"></a><span class="lineno"> 1353</span>&#160;</div>
<div class="line"><a name="l01354"></a><span class="lineno"> 1354</span>&#160;</div>
<div class="line"><a name="l01355"></a><span class="lineno"> 1355</span>&#160;    <span class="keywordtype">void</span> set_query (<span class="keyword">const</span> <span class="keywordtype">float</span> *query)<span class="keyword"> override </span>{</div>
<div class="line"><a name="l01356"></a><span class="lineno"> 1356</span>&#160;        dc.set_query (query);</div>
<div class="line"><a name="l01357"></a><span class="lineno"> 1357</span>&#160;    }</div>
<div class="line"><a name="l01358"></a><span class="lineno"> 1358</span>&#160;</div>
<div class="line"><a name="l01359"></a><span class="lineno"> 1359</span>&#160;    <span class="keywordtype">void</span> set_list (idx_t list_no, <span class="keywordtype">float</span> coarse_dis)<span class="keyword"> override </span>{</div>
<div class="line"><a name="l01360"></a><span class="lineno"> 1360</span>&#160;        this-&gt;list_no = list_no;</div>
<div class="line"><a name="l01361"></a><span class="lineno"> 1361</span>&#160;        accu0 = by_residual ? coarse_dis : 0;</div>
<div class="line"><a name="l01362"></a><span class="lineno"> 1362</span>&#160;    }</div>
<div class="line"><a name="l01363"></a><span class="lineno"> 1363</span>&#160;</div>
<div class="line"><a name="l01364"></a><span class="lineno"> 1364</span>&#160;    <span class="keywordtype">float</span> distance_to_code (<span class="keyword">const</span> uint8_t *code) <span class="keyword">const</span> <span class="keyword">final</span> {</div>
<div class="line"><a name="l01365"></a><span class="lineno"> 1365</span>&#160;        <span class="keywordflow">return</span> accu0 + dc.query_to_code (code);</div>
<div class="line"><a name="l01366"></a><span class="lineno"> 1366</span>&#160;    }</div>
<div class="line"><a name="l01367"></a><span class="lineno"> 1367</span>&#160;</div>
<div class="line"><a name="l01368"></a><span class="lineno"> 1368</span>&#160;    <span class="keywordtype">size_t</span> scan_codes (<span class="keywordtype">size_t</span> list_size,</div>
<div class="line"><a name="l01369"></a><span class="lineno"> 1369</span>&#160;                       <span class="keyword">const</span> uint8_t *codes,</div>
<div class="line"><a name="l01370"></a><span class="lineno"> 1370</span>&#160;                       <span class="keyword">const</span> idx_t *ids,</div>
<div class="line"><a name="l01371"></a><span class="lineno"> 1371</span>&#160;                       <span class="keywordtype">float</span> *simi, idx_t *idxi,</div>
<div class="line"><a name="l01372"></a><span class="lineno"> 1372</span>&#160;                       <span class="keywordtype">size_t</span> k)<span class="keyword"> const override</span></div>
<div class="line"><a name="l01373"></a><span class="lineno"> 1373</span>&#160;<span class="keyword">    </span>{</div>
<div class="line"><a name="l01374"></a><span class="lineno"> 1374</span>&#160;        <span class="keywordtype">size_t</span> nup = 0;</div>
<div class="line"><a name="l01375"></a><span class="lineno"> 1375</span>&#160;</div>
<div class="line"><a name="l01376"></a><span class="lineno"> 1376</span>&#160;        <span class="keywordflow">for</span> (<span class="keywordtype">size_t</span> j = 0; j &lt; list_size; j++) {</div>
<div class="line"><a name="l01377"></a><span class="lineno"> 1377</span>&#160;</div>
<div class="line"><a name="l01378"></a><span class="lineno"> 1378</span>&#160;            <span class="keywordtype">float</span> accu = accu0 + dc.query_to_code (codes);</div>
<div class="line"><a name="l01379"></a><span class="lineno"> 1379</span>&#160;</div>
<div class="line"><a name="l01380"></a><span class="lineno"> 1380</span>&#160;            <span class="keywordflow">if</span> (accu &gt; simi [0]) {</div>
<div class="line"><a name="l01381"></a><span class="lineno"> 1381</span>&#160;                minheap_pop (k, simi, idxi);</div>
<div class="line"><a name="l01382"></a><span class="lineno"> 1382</span>&#160;                <span class="keywordtype">long</span> <span class="keywordtype">id</span> = store_pairs ? (list_no &lt;&lt; 32 | j) : ids[j];</div>
<div class="line"><a name="l01383"></a><span class="lineno"> 1383</span>&#160;                minheap_push (k, simi, idxi, accu, <span class="keywordtype">id</span>);</div>
<div class="line"><a name="l01384"></a><span class="lineno"> 1384</span>&#160;                nup++;</div>
<div class="line"><a name="l01385"></a><span class="lineno"> 1385</span>&#160;            }</div>
<div class="line"><a name="l01386"></a><span class="lineno"> 1386</span>&#160;            codes += code_size;</div>
<div class="line"><a name="l01387"></a><span class="lineno"> 1387</span>&#160;        }</div>
<div class="line"><a name="l01388"></a><span class="lineno"> 1388</span>&#160;        <span class="keywordflow">return</span> nup;</div>
<div class="line"><a name="l01389"></a><span class="lineno"> 1389</span>&#160;    }</div>
<div class="line"><a name="l01390"></a><span class="lineno"> 1390</span>&#160;</div>
<div class="line"><a name="l01391"></a><span class="lineno"> 1391</span>&#160;    <span class="keywordtype">void</span> scan_codes_range (<span class="keywordtype">size_t</span> list_size,</div>
<div class="line"><a name="l01392"></a><span class="lineno"> 1392</span>&#160;                           <span class="keyword">const</span> uint8_t *codes,</div>
<div class="line"><a name="l01393"></a><span class="lineno"> 1393</span>&#160;                           <span class="keyword">const</span> idx_t *ids,</div>
<div class="line"><a name="l01394"></a><span class="lineno"> 1394</span>&#160;                           <span class="keywordtype">float</span> radius,</div>
<div class="line"><a name="l01395"></a><span class="lineno"> 1395</span>&#160;                           RangeQueryResult &amp; res)<span class="keyword"> const override</span></div>
<div class="line"><a name="l01396"></a><span class="lineno"> 1396</span>&#160;<span class="keyword">    </span>{</div>
<div class="line"><a name="l01397"></a><span class="lineno"> 1397</span>&#160;        <span class="keywordflow">for</span> (<span class="keywordtype">size_t</span> j = 0; j &lt; list_size; j++) {</div>
<div class="line"><a name="l01398"></a><span class="lineno"> 1398</span>&#160;            <span class="keywordtype">float</span> accu = accu0 + dc.query_to_code (codes);</div>
<div class="line"><a name="l01399"></a><span class="lineno"> 1399</span>&#160;            <span class="keywordflow">if</span> (accu &gt; radius) {</div>
<div class="line"><a name="l01400"></a><span class="lineno"> 1400</span>&#160;                <span class="keywordtype">long</span> <span class="keywordtype">id</span> = store_pairs ? (list_no &lt;&lt; 32 | j) : ids[j];</div>
<div class="line"><a name="l01401"></a><span class="lineno"> 1401</span>&#160;                res.add (accu, <span class="keywordtype">id</span>);</div>
<div class="line"><a name="l01402"></a><span class="lineno"> 1402</span>&#160;            }</div>
<div class="line"><a name="l01403"></a><span class="lineno"> 1403</span>&#160;            codes += code_size;</div>
<div class="line"><a name="l01404"></a><span class="lineno"> 1404</span>&#160;        }</div>
<div class="line"><a name="l01405"></a><span class="lineno"> 1405</span>&#160;    }</div>
<div class="line"><a name="l01406"></a><span class="lineno"> 1406</span>&#160;</div>
<div class="line"><a name="l01407"></a><span class="lineno"> 1407</span>&#160;</div>
<div class="line"><a name="l01408"></a><span class="lineno"> 1408</span>&#160;};</div>
<div class="line"><a name="l01409"></a><span class="lineno"> 1409</span>&#160;</div>
<div class="line"><a name="l01410"></a><span class="lineno"> 1410</span>&#160;</div>
<div class="line"><a name="l01411"></a><span class="lineno"> 1411</span>&#160;<span class="keyword">template</span>&lt;<span class="keyword">class</span> DCClass&gt;</div>
<div class="line"><a name="l01412"></a><span class="lineno"> 1412</span>&#160;<span class="keyword">struct </span>IVFSQScannerL2: InvertedListScanner {</div>
<div class="line"><a name="l01413"></a><span class="lineno"> 1413</span>&#160;</div>
<div class="line"><a name="l01414"></a><span class="lineno"> 1414</span>&#160;    DCClass dc;</div>
<div class="line"><a name="l01415"></a><span class="lineno"> 1415</span>&#160;</div>
<div class="line"><a name="l01416"></a><span class="lineno"> 1416</span>&#160;    <span class="keywordtype">bool</span> store_pairs, by_residual;</div>
<div class="line"><a name="l01417"></a><span class="lineno"> 1417</span>&#160;    <span class="keywordtype">size_t</span> code_size;</div>
<div class="line"><a name="l01418"></a><span class="lineno"> 1418</span>&#160;    <span class="keyword">const</span> Index *quantizer;</div>
<div class="line"><a name="l01419"></a><span class="lineno"> 1419</span>&#160;    idx_t list_no;    <span class="comment">/// current inverted list</span></div>
<div class="line"><a name="l01420"></a><span class="lineno"> 1420</span>&#160;<span class="comment"></span>    <span class="keyword">const</span> <span class="keywordtype">float</span> *x;   <span class="comment">/// current query</span></div>
<div class="line"><a name="l01421"></a><span class="lineno"> 1421</span>&#160;<span class="comment"></span></div>
<div class="line"><a name="l01422"></a><span class="lineno"> 1422</span>&#160;    std::vector&lt;float&gt; tmp;</div>
<div class="line"><a name="l01423"></a><span class="lineno"> 1423</span>&#160;</div>
<div class="line"><a name="l01424"></a><span class="lineno"> 1424</span>&#160;    IVFSQScannerL2(<span class="keywordtype">int</span> d, <span class="keyword">const</span> std::vector&lt;float&gt; &amp; trained,</div>
<div class="line"><a name="l01425"></a><span class="lineno"> 1425</span>&#160;                   <span class="keywordtype">size_t</span> code_size, <span class="keyword">const</span> Index *quantizer,</div>
<div class="line"><a name="l01426"></a><span class="lineno"> 1426</span>&#160;                   <span class="keywordtype">bool</span> store_pairs, <span class="keywordtype">bool</span> by_residual):</div>
<div class="line"><a name="l01427"></a><span class="lineno"> 1427</span>&#160;        dc(d, trained), store_pairs(store_pairs), by_residual(by_residual),</div>
<div class="line"><a name="l01428"></a><span class="lineno"> 1428</span>&#160;        code_size(code_size), quantizer(quantizer),</div>
<div class="line"><a name="l01429"></a><span class="lineno"> 1429</span>&#160;        list_no (0), x (nullptr), tmp (d)</div>
<div class="line"><a name="l01430"></a><span class="lineno"> 1430</span>&#160;    {</div>
<div class="line"><a name="l01431"></a><span class="lineno"> 1431</span>&#160;    }</div>
<div class="line"><a name="l01432"></a><span class="lineno"> 1432</span>&#160;</div>
<div class="line"><a name="l01433"></a><span class="lineno"> 1433</span>&#160;</div>
<div class="line"><a name="l01434"></a><span class="lineno"> 1434</span>&#160;    <span class="keywordtype">void</span> set_query (<span class="keyword">const</span> <span class="keywordtype">float</span> *query)<span class="keyword"> override </span>{</div>
<div class="line"><a name="l01435"></a><span class="lineno"> 1435</span>&#160;        x = query;</div>
<div class="line"><a name="l01436"></a><span class="lineno"> 1436</span>&#160;        <span class="keywordflow">if</span> (!quantizer) {</div>
<div class="line"><a name="l01437"></a><span class="lineno"> 1437</span>&#160;            dc.set_query (query);</div>
<div class="line"><a name="l01438"></a><span class="lineno"> 1438</span>&#160;        }</div>
<div class="line"><a name="l01439"></a><span class="lineno"> 1439</span>&#160;    }</div>
<div class="line"><a name="l01440"></a><span class="lineno"> 1440</span>&#160;</div>
<div class="line"><a name="l01441"></a><span class="lineno"> 1441</span>&#160;</div>
<div class="line"><a name="l01442"></a><span class="lineno"> 1442</span>&#160;    <span class="keywordtype">void</span> set_list (idx_t list_no, <span class="keywordtype">float</span> <span class="comment">/*coarse_dis*/</span>)<span class="keyword"> override </span>{</div>
<div class="line"><a name="l01443"></a><span class="lineno"> 1443</span>&#160;        <span class="keywordflow">if</span> (by_residual) {</div>
<div class="line"><a name="l01444"></a><span class="lineno"> 1444</span>&#160;            this-&gt;list_no = list_no;</div>
<div class="line"><a name="l01445"></a><span class="lineno"> 1445</span>&#160;            <span class="comment">// shift of x_in wrt centroid</span></div>
<div class="line"><a name="l01446"></a><span class="lineno"> 1446</span>&#160;            quantizer-&gt;compute_residual (x, tmp.data(), list_no);</div>
<div class="line"><a name="l01447"></a><span class="lineno"> 1447</span>&#160;            dc.set_query (tmp.data ());</div>
<div class="line"><a name="l01448"></a><span class="lineno"> 1448</span>&#160;        } <span class="keywordflow">else</span> {</div>
<div class="line"><a name="l01449"></a><span class="lineno"> 1449</span>&#160;            dc.set_query (x);</div>
<div class="line"><a name="l01450"></a><span class="lineno"> 1450</span>&#160;        }</div>
<div class="line"><a name="l01451"></a><span class="lineno"> 1451</span>&#160;    }</div>
<div class="line"><a name="l01452"></a><span class="lineno"> 1452</span>&#160;</div>
<div class="line"><a name="l01453"></a><span class="lineno"> 1453</span>&#160;    <span class="keywordtype">float</span> distance_to_code (<span class="keyword">const</span> uint8_t *code) <span class="keyword">const</span> <span class="keyword">final</span> {</div>
<div class="line"><a name="l01454"></a><span class="lineno"> 1454</span>&#160;        <span class="keywordflow">return</span> dc.query_to_code (code);</div>
<div class="line"><a name="l01455"></a><span class="lineno"> 1455</span>&#160;    }</div>
<div class="line"><a name="l01456"></a><span class="lineno"> 1456</span>&#160;</div>
<div class="line"><a name="l01457"></a><span class="lineno"> 1457</span>&#160;    <span class="keywordtype">size_t</span> scan_codes (<span class="keywordtype">size_t</span> list_size,</div>
<div class="line"><a name="l01458"></a><span class="lineno"> 1458</span>&#160;                       <span class="keyword">const</span> uint8_t *codes,</div>
<div class="line"><a name="l01459"></a><span class="lineno"> 1459</span>&#160;                       <span class="keyword">const</span> idx_t *ids,</div>
<div class="line"><a name="l01460"></a><span class="lineno"> 1460</span>&#160;                       <span class="keywordtype">float</span> *simi, idx_t *idxi,</div>
<div class="line"><a name="l01461"></a><span class="lineno"> 1461</span>&#160;                       <span class="keywordtype">size_t</span> k)<span class="keyword"> const override</span></div>
<div class="line"><a name="l01462"></a><span class="lineno"> 1462</span>&#160;<span class="keyword">    </span>{</div>
<div class="line"><a name="l01463"></a><span class="lineno"> 1463</span>&#160;        <span class="keywordtype">size_t</span> nup = 0;</div>
<div class="line"><a name="l01464"></a><span class="lineno"> 1464</span>&#160;        <span class="keywordflow">for</span> (<span class="keywordtype">size_t</span> j = 0; j &lt; list_size; j++) {</div>
<div class="line"><a name="l01465"></a><span class="lineno"> 1465</span>&#160;</div>
<div class="line"><a name="l01466"></a><span class="lineno"> 1466</span>&#160;            <span class="keywordtype">float</span> dis = dc.query_to_code (codes);</div>
<div class="line"><a name="l01467"></a><span class="lineno"> 1467</span>&#160;</div>
<div class="line"><a name="l01468"></a><span class="lineno"> 1468</span>&#160;            <span class="keywordflow">if</span> (dis &lt; simi [0]) {</div>
<div class="line"><a name="l01469"></a><span class="lineno"> 1469</span>&#160;                maxheap_pop (k, simi, idxi);</div>
<div class="line"><a name="l01470"></a><span class="lineno"> 1470</span>&#160;                <span class="keywordtype">long</span> <span class="keywordtype">id</span> = store_pairs ? (list_no &lt;&lt; 32 | j) : ids[j];</div>
<div class="line"><a name="l01471"></a><span class="lineno"> 1471</span>&#160;                maxheap_push (k, simi, idxi, dis, <span class="keywordtype">id</span>);</div>
<div class="line"><a name="l01472"></a><span class="lineno"> 1472</span>&#160;                nup++;</div>
<div class="line"><a name="l01473"></a><span class="lineno"> 1473</span>&#160;            }</div>
<div class="line"><a name="l01474"></a><span class="lineno"> 1474</span>&#160;            codes += code_size;</div>
<div class="line"><a name="l01475"></a><span class="lineno"> 1475</span>&#160;        }</div>
<div class="line"><a name="l01476"></a><span class="lineno"> 1476</span>&#160;        <span class="keywordflow">return</span> nup;</div>
<div class="line"><a name="l01477"></a><span class="lineno"> 1477</span>&#160;    }</div>
<div class="line"><a name="l01478"></a><span class="lineno"> 1478</span>&#160;</div>
<div class="line"><a name="l01479"></a><span class="lineno"> 1479</span>&#160;    <span class="keywordtype">void</span> scan_codes_range (<span class="keywordtype">size_t</span> list_size,</div>
<div class="line"><a name="l01480"></a><span class="lineno"> 1480</span>&#160;                           <span class="keyword">const</span> uint8_t *codes,</div>
<div class="line"><a name="l01481"></a><span class="lineno"> 1481</span>&#160;                           <span class="keyword">const</span> idx_t *ids,</div>
<div class="line"><a name="l01482"></a><span class="lineno"> 1482</span>&#160;                           <span class="keywordtype">float</span> radius,</div>
<div class="line"><a name="l01483"></a><span class="lineno"> 1483</span>&#160;                           RangeQueryResult &amp; res)<span class="keyword"> const override</span></div>
<div class="line"><a name="l01484"></a><span class="lineno"> 1484</span>&#160;<span class="keyword">    </span>{</div>
<div class="line"><a name="l01485"></a><span class="lineno"> 1485</span>&#160;        <span class="keywordflow">for</span> (<span class="keywordtype">size_t</span> j = 0; j &lt; list_size; j++) {</div>
<div class="line"><a name="l01486"></a><span class="lineno"> 1486</span>&#160;            <span class="keywordtype">float</span> dis = dc.query_to_code (codes);</div>
<div class="line"><a name="l01487"></a><span class="lineno"> 1487</span>&#160;            <span class="keywordflow">if</span> (dis &lt; radius) {</div>
<div class="line"><a name="l01488"></a><span class="lineno"> 1488</span>&#160;                <span class="keywordtype">long</span> <span class="keywordtype">id</span> = store_pairs ? (list_no &lt;&lt; 32 | j) : ids[j];</div>
<div class="line"><a name="l01489"></a><span class="lineno"> 1489</span>&#160;                res.add (dis, <span class="keywordtype">id</span>);</div>
<div class="line"><a name="l01490"></a><span class="lineno"> 1490</span>&#160;            }</div>
<div class="line"><a name="l01491"></a><span class="lineno"> 1491</span>&#160;            codes += code_size;</div>
<div class="line"><a name="l01492"></a><span class="lineno"> 1492</span>&#160;        }</div>
<div class="line"><a name="l01493"></a><span class="lineno"> 1493</span>&#160;    }</div>
<div class="line"><a name="l01494"></a><span class="lineno"> 1494</span>&#160;</div>
<div class="line"><a name="l01495"></a><span class="lineno"> 1495</span>&#160;</div>
<div class="line"><a name="l01496"></a><span class="lineno"> 1496</span>&#160;};</div>
<div class="line"><a name="l01497"></a><span class="lineno"> 1497</span>&#160;</div>
<div class="line"><a name="l01498"></a><span class="lineno"> 1498</span>&#160;<span class="keyword">template</span>&lt;<span class="keyword">class</span> DCClass&gt;</div>
<div class="line"><a name="l01499"></a><span class="lineno"> 1499</span>&#160;InvertedListScanner* sel2_InvertedListScanner</div>
<div class="line"><a name="l01500"></a><span class="lineno"> 1500</span>&#160;      (<span class="keyword">const</span> ScalarQuantizer *sq,</div>
<div class="line"><a name="l01501"></a><span class="lineno"> 1501</span>&#160;       <span class="keyword">const</span> Index *quantizer, <span class="keywordtype">bool</span> store_pairs, <span class="keywordtype">bool</span> r)</div>
<div class="line"><a name="l01502"></a><span class="lineno"> 1502</span>&#160;{</div>
<div class="line"><a name="l01503"></a><span class="lineno"> 1503</span>&#160;    <span class="keywordflow">if</span> (DCClass::Sim::metric_type == METRIC_L2) {</div>
<div class="line"><a name="l01504"></a><span class="lineno"> 1504</span>&#160;        <span class="keywordflow">return</span> <span class="keyword">new</span> IVFSQScannerL2&lt;DCClass&gt;(sq-&gt;d, sq-&gt;trained, sq-&gt;code_size,</div>
<div class="line"><a name="l01505"></a><span class="lineno"> 1505</span>&#160;                                           quantizer, store_pairs, r);</div>
<div class="line"><a name="l01506"></a><span class="lineno"> 1506</span>&#160;    } <span class="keywordflow">else</span> {</div>
<div class="line"><a name="l01507"></a><span class="lineno"> 1507</span>&#160;        <span class="keywordflow">return</span> <span class="keyword">new</span> IVFSQScannerIP&lt;DCClass&gt;(sq-&gt;d, sq-&gt;trained, sq-&gt;code_size,</div>
<div class="line"><a name="l01508"></a><span class="lineno"> 1508</span>&#160;                                           store_pairs, r);</div>
<div class="line"><a name="l01509"></a><span class="lineno"> 1509</span>&#160;    }</div>
<div class="line"><a name="l01510"></a><span class="lineno"> 1510</span>&#160;}</div>
<div class="line"><a name="l01511"></a><span class="lineno"> 1511</span>&#160;</div>
<div class="line"><a name="l01512"></a><span class="lineno"> 1512</span>&#160;<span class="keyword">template</span>&lt;<span class="keyword">class</span> Similarity, <span class="keyword">class</span> Codec, <span class="keywordtype">bool</span> uniform&gt;</div>
<div class="line"><a name="l01513"></a><span class="lineno"> 1513</span>&#160;InvertedListScanner* sel12_InvertedListScanner</div>
<div class="line"><a name="l01514"></a><span class="lineno"> 1514</span>&#160;        (<span class="keyword">const</span> ScalarQuantizer *sq,</div>
<div class="line"><a name="l01515"></a><span class="lineno"> 1515</span>&#160;         <span class="keyword">const</span> Index *quantizer, <span class="keywordtype">bool</span> store_pairs, <span class="keywordtype">bool</span> r)</div>
<div class="line"><a name="l01516"></a><span class="lineno"> 1516</span>&#160;{</div>
<div class="line"><a name="l01517"></a><span class="lineno"> 1517</span>&#160;    constexpr <span class="keywordtype">int</span> SIMDWIDTH = Similarity::simdwidth;</div>
<div class="line"><a name="l01518"></a><span class="lineno"> 1518</span>&#160;    <span class="keyword">using</span> QuantizerClass = QuantizerTemplate&lt;Codec, uniform, SIMDWIDTH&gt;;</div>
<div class="line"><a name="l01519"></a><span class="lineno"> 1519</span>&#160;    <span class="keyword">using</span> DCClass = DCTemplate&lt;QuantizerClass, Similarity, SIMDWIDTH&gt;;</div>
<div class="line"><a name="l01520"></a><span class="lineno"> 1520</span>&#160;    <span class="keywordflow">return</span> sel2_InvertedListScanner&lt;DCClass&gt; (sq, quantizer, store_pairs, r);</div>
<div class="line"><a name="l01521"></a><span class="lineno"> 1521</span>&#160;}</div>
<div class="line"><a name="l01522"></a><span class="lineno"> 1522</span>&#160;</div>
<div class="line"><a name="l01523"></a><span class="lineno"> 1523</span>&#160;</div>
<div class="line"><a name="l01524"></a><span class="lineno"> 1524</span>&#160;</div>
<div class="line"><a name="l01525"></a><span class="lineno"> 1525</span>&#160;<span class="keyword">template</span>&lt;<span class="keyword">class</span> Similarity&gt;</div>
<div class="line"><a name="l01526"></a><span class="lineno"> 1526</span>&#160;InvertedListScanner* sel1_InvertedListScanner</div>
<div class="line"><a name="l01527"></a><span class="lineno"> 1527</span>&#160;        (<span class="keyword">const</span> ScalarQuantizer *sq, <span class="keyword">const</span> Index *quantizer,</div>
<div class="line"><a name="l01528"></a><span class="lineno"> 1528</span>&#160;         <span class="keywordtype">bool</span> store_pairs, <span class="keywordtype">bool</span> r)</div>
<div class="line"><a name="l01529"></a><span class="lineno"> 1529</span>&#160;{</div>
<div class="line"><a name="l01530"></a><span class="lineno"> 1530</span>&#160;    constexpr <span class="keywordtype">int</span> SIMDWIDTH = Similarity::simdwidth;</div>
<div class="line"><a name="l01531"></a><span class="lineno"> 1531</span>&#160;    <span class="keywordflow">switch</span>(sq-&gt;qtype) {</div>
<div class="line"><a name="l01532"></a><span class="lineno"> 1532</span>&#160;    <span class="keywordflow">case</span> <a class="code" href="structfaiss_1_1ScalarQuantizer.html#a1201dbd1611fa5c10782ade5d0e4952ea029f07a15ea64e7e73daaf9633ac429a">ScalarQuantizer::QT_8bit_uniform</a>:</div>
<div class="line"><a name="l01533"></a><span class="lineno"> 1533</span>&#160;        <span class="keywordflow">return</span> sel12_InvertedListScanner</div>
<div class="line"><a name="l01534"></a><span class="lineno"> 1534</span>&#160;            &lt;Similarity, Codec8bit, <span class="keyword">true</span>&gt;(sq, quantizer, store_pairs, r);</div>
<div class="line"><a name="l01535"></a><span class="lineno"> 1535</span>&#160;    <span class="keywordflow">case</span> ScalarQuantizer::QT_4bit_uniform:</div>
<div class="line"><a name="l01536"></a><span class="lineno"> 1536</span>&#160;        <span class="keywordflow">return</span> sel12_InvertedListScanner</div>
<div class="line"><a name="l01537"></a><span class="lineno"> 1537</span>&#160;            &lt;Similarity, Codec4bit, <span class="keyword">true</span>&gt;(sq, quantizer, store_pairs, r);</div>
<div class="line"><a name="l01538"></a><span class="lineno"> 1538</span>&#160;    <span class="keywordflow">case</span> <a class="code" href="structfaiss_1_1ScalarQuantizer.html#a1201dbd1611fa5c10782ade5d0e4952ea1650389e3efa052ff60177d502328a2c">ScalarQuantizer::QT_8bit</a>:</div>
<div class="line"><a name="l01539"></a><span class="lineno"> 1539</span>&#160;        <span class="keywordflow">return</span> sel12_InvertedListScanner</div>
<div class="line"><a name="l01540"></a><span class="lineno"> 1540</span>&#160;            &lt;Similarity, Codec8bit, <span class="keyword">false</span>&gt;(sq, quantizer, store_pairs, r);</div>
<div class="line"><a name="l01541"></a><span class="lineno"> 1541</span>&#160;    <span class="keywordflow">case</span> <a class="code" href="structfaiss_1_1ScalarQuantizer.html#a1201dbd1611fa5c10782ade5d0e4952eacd3d1bd71533a7bc52149e4b3d1db13b">ScalarQuantizer::QT_4bit</a>:</div>
<div class="line"><a name="l01542"></a><span class="lineno"> 1542</span>&#160;        <span class="keywordflow">return</span> sel12_InvertedListScanner</div>
<div class="line"><a name="l01543"></a><span class="lineno"> 1543</span>&#160;            &lt;Similarity, Codec4bit, <span class="keyword">false</span>&gt;(sq, quantizer, store_pairs, r);</div>
<div class="line"><a name="l01544"></a><span class="lineno"> 1544</span>&#160;    <span class="keywordflow">case</span> <a class="code" href="structfaiss_1_1ScalarQuantizer.html#a1201dbd1611fa5c10782ade5d0e4952eaf654ce120baf92b9ac3c43592744fbf8">ScalarQuantizer::QT_6bit</a>:</div>
<div class="line"><a name="l01545"></a><span class="lineno"> 1545</span>&#160;        <span class="keywordflow">return</span> sel12_InvertedListScanner</div>
<div class="line"><a name="l01546"></a><span class="lineno"> 1546</span>&#160;            &lt;Similarity, Codec6bit, <span class="keyword">false</span>&gt;(sq, quantizer, store_pairs, r);</div>
<div class="line"><a name="l01547"></a><span class="lineno"> 1547</span>&#160;    <span class="keywordflow">case</span> ScalarQuantizer::QT_fp16:</div>
<div class="line"><a name="l01548"></a><span class="lineno"> 1548</span>&#160;        <span class="keywordflow">return</span> sel2_InvertedListScanner</div>
<div class="line"><a name="l01549"></a><span class="lineno"> 1549</span>&#160;            &lt;DCTemplate&lt;QuantizerFP16&lt;SIMDWIDTH&gt;, Similarity, SIMDWIDTH&gt; &gt;</div>
<div class="line"><a name="l01550"></a><span class="lineno"> 1550</span>&#160;            (sq, quantizer, store_pairs, r);</div>
<div class="line"><a name="l01551"></a><span class="lineno"> 1551</span>&#160;    <span class="keywordflow">case</span> ScalarQuantizer::QT_8bit_direct:</div>
<div class="line"><a name="l01552"></a><span class="lineno"> 1552</span>&#160;        <span class="keywordflow">if</span> (sq-&gt;d % 16 == 0) {</div>
<div class="line"><a name="l01553"></a><span class="lineno"> 1553</span>&#160;            <span class="keywordflow">return</span> sel2_InvertedListScanner</div>
<div class="line"><a name="l01554"></a><span class="lineno"> 1554</span>&#160;                &lt;DistanceComputerByte&lt;Similarity, SIMDWIDTH&gt; &gt;</div>
<div class="line"><a name="l01555"></a><span class="lineno"> 1555</span>&#160;                (sq, quantizer, store_pairs, r);</div>
<div class="line"><a name="l01556"></a><span class="lineno"> 1556</span>&#160;        } <span class="keywordflow">else</span> {</div>
<div class="line"><a name="l01557"></a><span class="lineno"> 1557</span>&#160;            <span class="keywordflow">return</span> sel2_InvertedListScanner</div>
<div class="line"><a name="l01558"></a><span class="lineno"> 1558</span>&#160;                &lt;DCTemplate&lt;Quantizer8bitDirect&lt;SIMDWIDTH&gt;,</div>
<div class="line"><a name="l01559"></a><span class="lineno"> 1559</span>&#160;                            Similarity, SIMDWIDTH&gt; &gt;</div>
<div class="line"><a name="l01560"></a><span class="lineno"> 1560</span>&#160;                (sq, quantizer, store_pairs, r);</div>
<div class="line"><a name="l01561"></a><span class="lineno"> 1561</span>&#160;        }</div>
<div class="line"><a name="l01562"></a><span class="lineno"> 1562</span>&#160;</div>
<div class="line"><a name="l01563"></a><span class="lineno"> 1563</span>&#160;    }</div>
<div class="line"><a name="l01564"></a><span class="lineno"> 1564</span>&#160;</div>
<div class="line"><a name="l01565"></a><span class="lineno"> 1565</span>&#160;    FAISS_THROW_MSG (<span class="stringliteral">&quot;unknown qtype&quot;</span>);</div>
<div class="line"><a name="l01566"></a><span class="lineno"> 1566</span>&#160;    <span class="keywordflow">return</span> <span class="keyword">nullptr</span>;</div>
<div class="line"><a name="l01567"></a><span class="lineno"> 1567</span>&#160;}</div>
<div class="line"><a name="l01568"></a><span class="lineno"> 1568</span>&#160;</div>
<div class="line"><a name="l01569"></a><span class="lineno"> 1569</span>&#160;<span class="keyword">template</span>&lt;<span class="keywordtype">int</span> SIMDWIDTH&gt;</div>
<div class="line"><a name="l01570"></a><span class="lineno"> 1570</span>&#160;InvertedListScanner* sel0_InvertedListScanner</div>
<div class="line"><a name="l01571"></a><span class="lineno"> 1571</span>&#160;        (<a class="code" href="namespacefaiss.html#afd12191c638da74760ff397cf319752c">MetricType</a> mt, <span class="keyword">const</span> ScalarQuantizer *sq,</div>
<div class="line"><a name="l01572"></a><span class="lineno"> 1572</span>&#160;         <span class="keyword">const</span> Index *quantizer, <span class="keywordtype">bool</span> store_pairs, <span class="keywordtype">bool</span> by_residual)</div>
<div class="line"><a name="l01573"></a><span class="lineno"> 1573</span>&#160;{</div>
<div class="line"><a name="l01574"></a><span class="lineno"> 1574</span>&#160;    <span class="keywordflow">if</span> (mt == METRIC_L2) {</div>
<div class="line"><a name="l01575"></a><span class="lineno"> 1575</span>&#160;        <span class="keywordflow">return</span> sel1_InvertedListScanner&lt;SimilarityL2&lt;SIMDWIDTH&gt; &gt;</div>
<div class="line"><a name="l01576"></a><span class="lineno"> 1576</span>&#160;            (sq, quantizer, store_pairs, by_residual);</div>
<div class="line"><a name="l01577"></a><span class="lineno"> 1577</span>&#160;    } <span class="keywordflow">else</span> {</div>
<div class="line"><a name="l01578"></a><span class="lineno"> 1578</span>&#160;        <span class="keywordflow">return</span> sel1_InvertedListScanner&lt;SimilarityIP&lt;SIMDWIDTH&gt; &gt;</div>
<div class="line"><a name="l01579"></a><span class="lineno"> 1579</span>&#160;            (sq, quantizer, store_pairs, by_residual);</div>
<div class="line"><a name="l01580"></a><span class="lineno"> 1580</span>&#160;    }</div>
<div class="line"><a name="l01581"></a><span class="lineno"> 1581</span>&#160;}</div>
<div class="line"><a name="l01582"></a><span class="lineno"> 1582</span>&#160;</div>
<div class="line"><a name="l01583"></a><span class="lineno"> 1583</span>&#160;</div>
<div class="line"><a name="l01584"></a><span class="lineno"> 1584</span>&#160;InvertedListScanner* select_InvertedListScanner</div>
<div class="line"><a name="l01585"></a><span class="lineno"> 1585</span>&#160;        (<a class="code" href="namespacefaiss.html#afd12191c638da74760ff397cf319752c">MetricType</a> mt, <span class="keyword">const</span> ScalarQuantizer *sq,</div>
<div class="line"><a name="l01586"></a><span class="lineno"> 1586</span>&#160;         <span class="keyword">const</span> Index *quantizer, <span class="keywordtype">bool</span> store_pairs, <span class="keywordtype">bool</span> by_residual=<span class="keyword">false</span>)</div>
<div class="line"><a name="l01587"></a><span class="lineno"> 1587</span>&#160;{</div>
<div class="line"><a name="l01588"></a><span class="lineno"> 1588</span>&#160;<span class="preprocessor">#ifdef USE_AVX</span></div>
<div class="line"><a name="l01589"></a><span class="lineno"> 1589</span>&#160;<span class="preprocessor"></span>    <span class="keywordflow">if</span> (sq-&gt;d % 8 == 0) {</div>
<div class="line"><a name="l01590"></a><span class="lineno"> 1590</span>&#160;        <span class="keywordflow">return</span> sel0_InvertedListScanner&lt;8&gt;</div>
<div class="line"><a name="l01591"></a><span class="lineno"> 1591</span>&#160;            (mt, sq, quantizer, store_pairs, by_residual);</div>
<div class="line"><a name="l01592"></a><span class="lineno"> 1592</span>&#160;    } <span class="keywordflow">else</span></div>
<div class="line"><a name="l01593"></a><span class="lineno"> 1593</span>&#160;<span class="preprocessor">#endif</span></div>
<div class="line"><a name="l01594"></a><span class="lineno"> 1594</span>&#160;<span class="preprocessor"></span>    {</div>
<div class="line"><a name="l01595"></a><span class="lineno"> 1595</span>&#160;        <span class="keywordflow">return</span> sel0_InvertedListScanner&lt;1&gt;</div>
<div class="line"><a name="l01596"></a><span class="lineno"> 1596</span>&#160;            (mt, sq, quantizer, store_pairs, by_residual);</div>
<div class="line"><a name="l01597"></a><span class="lineno"> 1597</span>&#160;    }</div>
<div class="line"><a name="l01598"></a><span class="lineno"> 1598</span>&#160;}</div>
<div class="line"><a name="l01599"></a><span class="lineno"> 1599</span>&#160;</div>
<div class="line"><a name="l01600"></a><span class="lineno"> 1600</span>&#160;</div>
<div class="line"><a name="l01601"></a><span class="lineno"> 1601</span>&#160;} <span class="comment">// anonymous namespace</span></div>
<div class="line"><a name="l01602"></a><span class="lineno"> 1602</span>&#160;</div>
<div class="line"><a name="l01603"></a><span class="lineno"> 1603</span>&#160;</div>
<div class="line"><a name="l01604"></a><span class="lineno"> 1604</span>&#160;<span class="comment">/*******************************************************************</span></div>
<div class="line"><a name="l01605"></a><span class="lineno"> 1605</span>&#160;<span class="comment"> * IndexScalarQuantizer implementation</span></div>
<div class="line"><a name="l01606"></a><span class="lineno"> 1606</span>&#160;<span class="comment"> ********************************************************************/</span></div>
<div class="line"><a name="l01607"></a><span class="lineno"> 1607</span>&#160;</div>
<div class="line"><a name="l01608"></a><span class="lineno"> 1608</span>&#160;IndexScalarQuantizer::IndexScalarQuantizer</div>
<div class="line"><a name="l01609"></a><span class="lineno"><a class="line" href="structfaiss_1_1IndexScalarQuantizer.html#a474ad5a50eb2e9f0d79f869855c57223"> 1609</a></span>&#160;                      (<span class="keywordtype">int</span> d, <a class="code" href="structfaiss_1_1ScalarQuantizer.html#a1201dbd1611fa5c10782ade5d0e4952e">ScalarQuantizer::QuantizerType</a> qtype,</div>
<div class="line"><a name="l01610"></a><span class="lineno"> 1610</span>&#160;                       <a class="code" href="namespacefaiss.html#afd12191c638da74760ff397cf319752c">MetricType</a> metric):</div>
<div class="line"><a name="l01611"></a><span class="lineno"> 1611</span>&#160;          <a class="code" href="structfaiss_1_1Index.html">Index</a>(d, metric),</div>
<div class="line"><a name="l01612"></a><span class="lineno"> 1612</span>&#160;          sq (d, qtype)</div>
<div class="line"><a name="l01613"></a><span class="lineno"> 1613</span>&#160;{</div>
<div class="line"><a name="l01614"></a><span class="lineno"> 1614</span>&#160;    is_trained =</div>
<div class="line"><a name="l01615"></a><span class="lineno"> 1615</span>&#160;        qtype == ScalarQuantizer::QT_fp16 ||</div>
<div class="line"><a name="l01616"></a><span class="lineno"> 1616</span>&#160;        qtype == ScalarQuantizer::QT_8bit_direct;</div>
<div class="line"><a name="l01617"></a><span class="lineno"> 1617</span>&#160;    code_size = sq.code_size;</div>
<div class="line"><a name="l01618"></a><span class="lineno"> 1618</span>&#160;}</div>
<div class="line"><a name="l01619"></a><span class="lineno"> 1619</span>&#160;</div>
<div class="line"><a name="l01620"></a><span class="lineno"> 1620</span>&#160;</div>
<div class="line"><a name="l01621"></a><span class="lineno"> 1621</span>&#160;IndexScalarQuantizer::IndexScalarQuantizer ():</div>
<div class="line"><a name="l01622"></a><span class="lineno"> 1622</span>&#160;    <a class="code" href="structfaiss_1_1IndexScalarQuantizer.html">IndexScalarQuantizer</a>(0, <a class="code" href="structfaiss_1_1ScalarQuantizer.html">ScalarQuantizer</a>::QT_8bit)</div>
<div class="line"><a name="l01623"></a><span class="lineno"> 1623</span>&#160;{}</div>
<div class="line"><a name="l01624"></a><span class="lineno"> 1624</span>&#160;</div>
<div class="line"><a name="l01625"></a><span class="lineno"><a class="line" href="structfaiss_1_1IndexScalarQuantizer.html#a300647e9cdac9acd160f2c55c610056b"> 1625</a></span>&#160;<span class="keywordtype">void</span> <a class="code" href="structfaiss_1_1IndexScalarQuantizer.html#a300647e9cdac9acd160f2c55c610056b">IndexScalarQuantizer::train</a>(idx_t n, <span class="keyword">const</span> <span class="keywordtype">float</span>* x)</div>
<div class="line"><a name="l01626"></a><span class="lineno"> 1626</span>&#160;{</div>
<div class="line"><a name="l01627"></a><span class="lineno"> 1627</span>&#160;    sq.train(n, x);</div>
<div class="line"><a name="l01628"></a><span class="lineno"> 1628</span>&#160;    <a class="code" href="structfaiss_1_1Index.html#a6e92732617c4dbe364e7678dd8773a7f">is_trained</a> = <span class="keyword">true</span>;</div>
<div class="line"><a name="l01629"></a><span class="lineno"> 1629</span>&#160;}</div>
<div class="line"><a name="l01630"></a><span class="lineno"> 1630</span>&#160;</div>
<div class="line"><a name="l01631"></a><span class="lineno"><a class="line" href="structfaiss_1_1IndexScalarQuantizer.html#ad49602f9ecfcaa2ec8737a449b69ccd7"> 1631</a></span>&#160;<span class="keywordtype">void</span> <a class="code" href="structfaiss_1_1IndexScalarQuantizer.html#ad49602f9ecfcaa2ec8737a449b69ccd7">IndexScalarQuantizer::add</a>(idx_t n, <span class="keyword">const</span> <span class="keywordtype">float</span>* x)</div>
<div class="line"><a name="l01632"></a><span class="lineno"> 1632</span>&#160;{</div>
<div class="line"><a name="l01633"></a><span class="lineno"> 1633</span>&#160;    FAISS_THROW_IF_NOT (<a class="code" href="structfaiss_1_1Index.html#a6e92732617c4dbe364e7678dd8773a7f">is_trained</a>);</div>
<div class="line"><a name="l01634"></a><span class="lineno"> 1634</span>&#160;    codes.resize ((n + <a class="code" href="structfaiss_1_1Index.html#a6970683faa021b7a6f1a0865c0d4eccd">ntotal</a>) * code_size);</div>
<div class="line"><a name="l01635"></a><span class="lineno"> 1635</span>&#160;    sq.compute_codes (x, &amp;codes[<a class="code" href="structfaiss_1_1Index.html#a6970683faa021b7a6f1a0865c0d4eccd">ntotal</a> * code_size], n);</div>
<div class="line"><a name="l01636"></a><span class="lineno"> 1636</span>&#160;    <a class="code" href="structfaiss_1_1Index.html#a6970683faa021b7a6f1a0865c0d4eccd">ntotal</a> += n;</div>
<div class="line"><a name="l01637"></a><span class="lineno"> 1637</span>&#160;}</div>
<div class="line"><a name="l01638"></a><span class="lineno"> 1638</span>&#160;</div>
<div class="line"><a name="l01639"></a><span class="lineno"> 1639</span>&#160;</div>
<div class="line"><a name="l01640"></a><span class="lineno"><a class="line" href="structfaiss_1_1IndexScalarQuantizer.html#abf24732c29106bb808148c3d30599662"> 1640</a></span>&#160;<span class="keywordtype">void</span> <a class="code" href="structfaiss_1_1IndexScalarQuantizer.html#abf24732c29106bb808148c3d30599662">IndexScalarQuantizer::search</a>(</div>
<div class="line"><a name="l01641"></a><span class="lineno"> 1641</span>&#160;        idx_t n,</div>
<div class="line"><a name="l01642"></a><span class="lineno"> 1642</span>&#160;        <span class="keyword">const</span> <span class="keywordtype">float</span>* x,</div>
<div class="line"><a name="l01643"></a><span class="lineno"> 1643</span>&#160;        idx_t k,</div>
<div class="line"><a name="l01644"></a><span class="lineno"> 1644</span>&#160;        <span class="keywordtype">float</span>* distances,</div>
<div class="line"><a name="l01645"></a><span class="lineno"> 1645</span>&#160;        idx_t* labels)<span class="keyword"> const</span></div>
<div class="line"><a name="l01646"></a><span class="lineno"> 1646</span>&#160;<span class="keyword"></span>{</div>
<div class="line"><a name="l01647"></a><span class="lineno"> 1647</span>&#160;    FAISS_THROW_IF_NOT (<a class="code" href="structfaiss_1_1Index.html#a6e92732617c4dbe364e7678dd8773a7f">is_trained</a>);</div>
<div class="line"><a name="l01648"></a><span class="lineno"> 1648</span>&#160;</div>
<div class="line"><a name="l01649"></a><span class="lineno"> 1649</span>&#160;<span class="preprocessor">#pragma omp parallel</span></div>
<div class="line"><a name="l01650"></a><span class="lineno"> 1650</span>&#160;<span class="preprocessor"></span>    {</div>
<div class="line"><a name="l01651"></a><span class="lineno"> 1651</span>&#160;        <a class="code" href="structfaiss_1_1InvertedListScanner.html">InvertedListScanner</a>* scanner = select_InvertedListScanner</div>
<div class="line"><a name="l01652"></a><span class="lineno"> 1652</span>&#160;            (<a class="code" href="structfaiss_1_1Index.html#a8e18f641854b2bde83ecff0a2f9a6f4e">metric_type</a>, &amp;sq, <span class="keyword">nullptr</span>, <span class="keyword">true</span>);</div>
<div class="line"><a name="l01653"></a><span class="lineno"> 1653</span>&#160;        <a class="code" href="structfaiss_1_1ScopeDeleter1.html">ScopeDeleter1&lt;InvertedListScanner&gt;</a> del(scanner);</div>
<div class="line"><a name="l01654"></a><span class="lineno"> 1654</span>&#160;</div>
<div class="line"><a name="l01655"></a><span class="lineno"> 1655</span>&#160;<span class="preprocessor">#pragma omp for</span></div>
<div class="line"><a name="l01656"></a><span class="lineno"> 1656</span>&#160;<span class="preprocessor"></span>        <span class="keywordflow">for</span> (<span class="keywordtype">size_t</span> i = 0; i &lt; n; i++) {</div>
<div class="line"><a name="l01657"></a><span class="lineno"> 1657</span>&#160;            <span class="keywordtype">float</span> * D = distances + k * i;</div>
<div class="line"><a name="l01658"></a><span class="lineno"> 1658</span>&#160;            idx_t * I = labels + k * i;</div>
<div class="line"><a name="l01659"></a><span class="lineno"> 1659</span>&#160;            <span class="comment">// re-order heap</span></div>
<div class="line"><a name="l01660"></a><span class="lineno"> 1660</span>&#160;            <span class="keywordflow">if</span> (<a class="code" href="structfaiss_1_1Index.html#a8e18f641854b2bde83ecff0a2f9a6f4e">metric_type</a> == METRIC_L2) {</div>
<div class="line"><a name="l01661"></a><span class="lineno"> 1661</span>&#160;                maxheap_heapify (k, D, I);</div>
<div class="line"><a name="l01662"></a><span class="lineno"> 1662</span>&#160;            } <span class="keywordflow">else</span> {</div>
<div class="line"><a name="l01663"></a><span class="lineno"> 1663</span>&#160;                minheap_heapify (k, D, I);</div>
<div class="line"><a name="l01664"></a><span class="lineno"> 1664</span>&#160;            }</div>
<div class="line"><a name="l01665"></a><span class="lineno"> 1665</span>&#160;            scanner-&gt;<a class="code" href="structfaiss_1_1InvertedListScanner.html#a97cab8fbf8203bdda6c42fc4b8f92319">set_query</a> (x + i * d);</div>
<div class="line"><a name="l01666"></a><span class="lineno"> 1666</span>&#160;            scanner-&gt;<a class="code" href="structfaiss_1_1InvertedListScanner.html#a218aeaf7cc45bf0bf27c3a8bfa44e303">scan_codes</a> (<a class="code" href="structfaiss_1_1Index.html#a6970683faa021b7a6f1a0865c0d4eccd">ntotal</a>, codes.data(),</div>
<div class="line"><a name="l01667"></a><span class="lineno"> 1667</span>&#160;                                 <span class="keyword">nullptr</span>, D, I, k);</div>
<div class="line"><a name="l01668"></a><span class="lineno"> 1668</span>&#160;</div>
<div class="line"><a name="l01669"></a><span class="lineno"> 1669</span>&#160;            <span class="comment">// re-order heap</span></div>
<div class="line"><a name="l01670"></a><span class="lineno"> 1670</span>&#160;            <span class="keywordflow">if</span> (<a class="code" href="structfaiss_1_1Index.html#a8e18f641854b2bde83ecff0a2f9a6f4e">metric_type</a> == METRIC_L2) {</div>
<div class="line"><a name="l01671"></a><span class="lineno"> 1671</span>&#160;                maxheap_reorder (k, D, I);</div>
<div class="line"><a name="l01672"></a><span class="lineno"> 1672</span>&#160;            } <span class="keywordflow">else</span> {</div>
<div class="line"><a name="l01673"></a><span class="lineno"> 1673</span>&#160;                minheap_reorder (k, D, I);</div>
<div class="line"><a name="l01674"></a><span class="lineno"> 1674</span>&#160;            }</div>
<div class="line"><a name="l01675"></a><span class="lineno"> 1675</span>&#160;        }</div>
<div class="line"><a name="l01676"></a><span class="lineno"> 1676</span>&#160;    }</div>
<div class="line"><a name="l01677"></a><span class="lineno"> 1677</span>&#160;</div>
<div class="line"><a name="l01678"></a><span class="lineno"> 1678</span>&#160;}</div>
<div class="line"><a name="l01679"></a><span class="lineno"> 1679</span>&#160;</div>
<div class="line"><a name="l01680"></a><span class="lineno"> 1680</span>&#160;</div>
<div class="line"><a name="l01681"></a><span class="lineno"> 1681</span>&#160;<a class="code" href="structfaiss_1_1DistanceComputer.html">DistanceComputer</a> *IndexScalarQuantizer::get_distance_computer ()<span class="keyword"> const</span></div>
<div class="line"><a name="l01682"></a><span class="lineno"> 1682</span>&#160;<span class="keyword"></span>{</div>
<div class="line"><a name="l01683"></a><span class="lineno"> 1683</span>&#160;    <a class="code" href="structfaiss_1_1SQDistanceComputer.html">SQDistanceComputer</a> *dc = sq.get_distance_computer (<a class="code" href="structfaiss_1_1Index.html#a8e18f641854b2bde83ecff0a2f9a6f4e">metric_type</a>);</div>
<div class="line"><a name="l01684"></a><span class="lineno"> 1684</span>&#160;    dc-&gt;code_size = sq.code_size;</div>
<div class="line"><a name="l01685"></a><span class="lineno"> 1685</span>&#160;    dc-&gt;codes = codes.data();</div>
<div class="line"><a name="l01686"></a><span class="lineno"> 1686</span>&#160;    <span class="keywordflow">return</span> dc;</div>
<div class="line"><a name="l01687"></a><span class="lineno"> 1687</span>&#160;}</div>
<div class="line"><a name="l01688"></a><span class="lineno"> 1688</span>&#160;</div>
<div class="line"><a name="l01689"></a><span class="lineno"> 1689</span>&#160;</div>
<div class="line"><a name="l01690"></a><span class="lineno"><a class="line" href="structfaiss_1_1IndexScalarQuantizer.html#af0d6b901a2a02fff34e5c7c1ea5b8d55"> 1690</a></span>&#160;<span class="keywordtype">void</span> <a class="code" href="structfaiss_1_1IndexScalarQuantizer.html#af0d6b901a2a02fff34e5c7c1ea5b8d55">IndexScalarQuantizer::reset</a>()</div>
<div class="line"><a name="l01691"></a><span class="lineno"> 1691</span>&#160;{</div>
<div class="line"><a name="l01692"></a><span class="lineno"> 1692</span>&#160;    codes.clear();</div>
<div class="line"><a name="l01693"></a><span class="lineno"> 1693</span>&#160;    <a class="code" href="structfaiss_1_1Index.html#a6970683faa021b7a6f1a0865c0d4eccd">ntotal</a> = 0;</div>
<div class="line"><a name="l01694"></a><span class="lineno"> 1694</span>&#160;}</div>
<div class="line"><a name="l01695"></a><span class="lineno"> 1695</span>&#160;</div>
<div class="line"><a name="l01696"></a><span class="lineno"><a class="line" href="structfaiss_1_1IndexScalarQuantizer.html#a06e6935b75f0b209f65fffa1c9e1477c"> 1696</a></span>&#160;<span class="keywordtype">void</span> <a class="code" href="structfaiss_1_1IndexScalarQuantizer.html#a06e6935b75f0b209f65fffa1c9e1477c">IndexScalarQuantizer::reconstruct_n</a>(</div>
<div class="line"><a name="l01697"></a><span class="lineno"> 1697</span>&#160;             idx_t i0, idx_t ni, <span class="keywordtype">float</span>* recons)<span class="keyword"> const</span></div>
<div class="line"><a name="l01698"></a><span class="lineno"> 1698</span>&#160;<span class="keyword"></span>{</div>
<div class="line"><a name="l01699"></a><span class="lineno"> 1699</span>&#160;    Quantizer *squant = select_quantizer (sq);</div>
<div class="line"><a name="l01700"></a><span class="lineno"> 1700</span>&#160;    <a class="code" href="structfaiss_1_1ScopeDeleter1.html">ScopeDeleter1&lt;Quantizer&gt;</a> del (squant);</div>
<div class="line"><a name="l01701"></a><span class="lineno"> 1701</span>&#160;    <span class="keywordflow">for</span> (<span class="keywordtype">size_t</span> i = 0; i &lt; ni; i++) {</div>
<div class="line"><a name="l01702"></a><span class="lineno"> 1702</span>&#160;        squant-&gt;decode_vector(&amp;codes[(i + i0) * code_size], recons + i * d);</div>
<div class="line"><a name="l01703"></a><span class="lineno"> 1703</span>&#160;    }</div>
<div class="line"><a name="l01704"></a><span class="lineno"> 1704</span>&#160;}</div>
<div class="line"><a name="l01705"></a><span class="lineno"> 1705</span>&#160;</div>
<div class="line"><a name="l01706"></a><span class="lineno"><a class="line" href="structfaiss_1_1IndexScalarQuantizer.html#a8fb8680f64465d643d96119da58099f3"> 1706</a></span>&#160;<span class="keywordtype">void</span> <a class="code" href="structfaiss_1_1IndexScalarQuantizer.html#a8fb8680f64465d643d96119da58099f3">IndexScalarQuantizer::reconstruct</a>(idx_t key, <span class="keywordtype">float</span>* recons)<span class="keyword"> const</span></div>
<div class="line"><a name="l01707"></a><span class="lineno"> 1707</span>&#160;<span class="keyword"></span>{</div>
<div class="line"><a name="l01708"></a><span class="lineno"> 1708</span>&#160;    <a class="code" href="structfaiss_1_1IndexScalarQuantizer.html#a06e6935b75f0b209f65fffa1c9e1477c">reconstruct_n</a>(key, 1, recons);</div>
<div class="line"><a name="l01709"></a><span class="lineno"> 1709</span>&#160;}</div>
<div class="line"><a name="l01710"></a><span class="lineno"> 1710</span>&#160;</div>
<div class="line"><a name="l01711"></a><span class="lineno"> 1711</span>&#160;</div>
<div class="line"><a name="l01712"></a><span class="lineno"> 1712</span>&#160;<span class="comment">/*******************************************************************</span></div>
<div class="line"><a name="l01713"></a><span class="lineno"> 1713</span>&#160;<span class="comment"> * IndexIVFScalarQuantizer implementation</span></div>
<div class="line"><a name="l01714"></a><span class="lineno"> 1714</span>&#160;<span class="comment"> ********************************************************************/</span></div>
<div class="line"><a name="l01715"></a><span class="lineno"> 1715</span>&#160;</div>
<div class="line"><a name="l01716"></a><span class="lineno"> 1716</span>&#160;IndexIVFScalarQuantizer::IndexIVFScalarQuantizer</div>
<div class="line"><a name="l01717"></a><span class="lineno"> 1717</span>&#160;          (<a class="code" href="structfaiss_1_1Index.html">Index</a> *quantizer, <span class="keywordtype">size_t</span> d, <span class="keywordtype">size_t</span> nlist,</div>
<div class="line"><a name="l01718"></a><span class="lineno"> 1718</span>&#160;           QuantizerType qtype, <a class="code" href="namespacefaiss.html#afd12191c638da74760ff397cf319752c">MetricType</a> metric):</div>
<div class="line"><a name="l01719"></a><span class="lineno"> 1719</span>&#160;              <a class="code" href="structfaiss_1_1IndexIVF.html">IndexIVF</a> (quantizer, d, nlist, 0, metric),</div>
<div class="line"><a name="l01720"></a><span class="lineno"> 1720</span>&#160;              sq (d, qtype)</div>
<div class="line"><a name="l01721"></a><span class="lineno"> 1721</span>&#160;{</div>
<div class="line"><a name="l01722"></a><span class="lineno"> 1722</span>&#160;    code_size = sq.code_size;</div>
<div class="line"><a name="l01723"></a><span class="lineno"> 1723</span>&#160;    <span class="comment">// was not known at construction time</span></div>
<div class="line"><a name="l01724"></a><span class="lineno"> 1724</span>&#160;    invlists-&gt;code_size = code_size;</div>
<div class="line"><a name="l01725"></a><span class="lineno"> 1725</span>&#160;    <a class="code" href="structfaiss_1_1Index.html#a6e92732617c4dbe364e7678dd8773a7f">is_trained</a> = <span class="keyword">false</span>;</div>
<div class="line"><a name="l01726"></a><span class="lineno"> 1726</span>&#160;    by_residual = <span class="keyword">true</span>;</div>
<div class="line"><a name="l01727"></a><span class="lineno"> 1727</span>&#160;}</div>
<div class="line"><a name="l01728"></a><span class="lineno"> 1728</span>&#160;</div>
<div class="line"><a name="l01729"></a><span class="lineno"> 1729</span>&#160;IndexIVFScalarQuantizer::IndexIVFScalarQuantizer ():</div>
<div class="line"><a name="l01730"></a><span class="lineno"> 1730</span>&#160;      IndexIVF ()</div>
<div class="line"><a name="l01731"></a><span class="lineno"> 1731</span>&#160;{</div>
<div class="line"><a name="l01732"></a><span class="lineno"> 1732</span>&#160;    by_residual = <span class="keyword">true</span>;</div>
<div class="line"><a name="l01733"></a><span class="lineno"> 1733</span>&#160;}</div>
<div class="line"><a name="l01734"></a><span class="lineno"> 1734</span>&#160;</div>
<div class="line"><a name="l01735"></a><span class="lineno"><a class="line" href="structfaiss_1_1IndexIVFScalarQuantizer.html#ac05d7fbfed59c85d1cf8ae526d279744"> 1735</a></span>&#160;<span class="keywordtype">void</span> <a class="code" href="structfaiss_1_1IndexIVFScalarQuantizer.html#ac05d7fbfed59c85d1cf8ae526d279744">IndexIVFScalarQuantizer::train_residual</a> (idx_t n, <span class="keyword">const</span> <span class="keywordtype">float</span> *x)</div>
<div class="line"><a name="l01736"></a><span class="lineno"> 1736</span>&#160;{</div>
<div class="line"><a name="l01737"></a><span class="lineno"> 1737</span>&#160;    <span class="keyword">const</span> <span class="keywordtype">float</span> * x_in = x;</div>
<div class="line"><a name="l01738"></a><span class="lineno"> 1738</span>&#160;</div>
<div class="line"><a name="l01739"></a><span class="lineno"> 1739</span>&#160;    <span class="comment">// 100k points more than enough</span></div>
<div class="line"><a name="l01740"></a><span class="lineno"> 1740</span>&#160;    x = <a class="code" href="namespacefaiss.html#a14884d253128c7af5891a65082ad7dc6">fvecs_maybe_subsample</a> (</div>
<div class="line"><a name="l01741"></a><span class="lineno"> 1741</span>&#160;         d, (<span class="keywordtype">size_t</span>*)&amp;n, 100000,</div>
<div class="line"><a name="l01742"></a><span class="lineno"> 1742</span>&#160;         x, verbose, 1234);</div>
<div class="line"><a name="l01743"></a><span class="lineno"> 1743</span>&#160;</div>
<div class="line"><a name="l01744"></a><span class="lineno"> 1744</span>&#160;    <a class="code" href="structfaiss_1_1ScopeDeleter.html">ScopeDeleter&lt;float&gt;</a> del_x (x_in == x ? <span class="keyword">nullptr</span> : x);</div>
<div class="line"><a name="l01745"></a><span class="lineno"> 1745</span>&#160;</div>
<div class="line"><a name="l01746"></a><span class="lineno"> 1746</span>&#160;    <span class="keywordflow">if</span> (by_residual) {</div>
<div class="line"><a name="l01747"></a><span class="lineno"> 1747</span>&#160;        <span class="keywordtype">long</span> * idx = <span class="keyword">new</span> <span class="keywordtype">long</span> [n];</div>
<div class="line"><a name="l01748"></a><span class="lineno"> 1748</span>&#160;        <a class="code" href="structfaiss_1_1ScopeDeleter.html">ScopeDeleter&lt;long&gt;</a> del (idx);</div>
<div class="line"><a name="l01749"></a><span class="lineno"> 1749</span>&#160;        quantizer-&gt;assign (n, x, idx);</div>
<div class="line"><a name="l01750"></a><span class="lineno"> 1750</span>&#160;        <span class="keywordtype">float</span> *residuals = <span class="keyword">new</span> <span class="keywordtype">float</span> [n * <a class="code" href="structfaiss_1_1Index.html#a2a002388d2c081c2dbab8508dcefe73d">d</a>];</div>
<div class="line"><a name="l01751"></a><span class="lineno"> 1751</span>&#160;        <a class="code" href="structfaiss_1_1ScopeDeleter.html">ScopeDeleter&lt;float&gt;</a> del2 (residuals);</div>
<div class="line"><a name="l01752"></a><span class="lineno"> 1752</span>&#160;</div>
<div class="line"><a name="l01753"></a><span class="lineno"> 1753</span>&#160;<span class="preprocessor">#pragma omp parallel for</span></div>
<div class="line"><a name="l01754"></a><span class="lineno"> 1754</span>&#160;<span class="preprocessor"></span>        <span class="keywordflow">for</span> (idx_t i = 0; i &lt; n; i++) {</div>
<div class="line"><a name="l01755"></a><span class="lineno"> 1755</span>&#160;            quantizer-&gt;compute_residual (x + i * d, residuals + i * d, idx[i]);</div>
<div class="line"><a name="l01756"></a><span class="lineno"> 1756</span>&#160;        }</div>
<div class="line"><a name="l01757"></a><span class="lineno"> 1757</span>&#160;        sq.train (n, residuals);</div>
<div class="line"><a name="l01758"></a><span class="lineno"> 1758</span>&#160;    } <span class="keywordflow">else</span> {</div>
<div class="line"><a name="l01759"></a><span class="lineno"> 1759</span>&#160;        sq.train (n, x);</div>
<div class="line"><a name="l01760"></a><span class="lineno"> 1760</span>&#160;    }</div>
<div class="line"><a name="l01761"></a><span class="lineno"> 1761</span>&#160;</div>
<div class="line"><a name="l01762"></a><span class="lineno"> 1762</span>&#160;}</div>
<div class="line"><a name="l01763"></a><span class="lineno"> 1763</span>&#160;</div>
<div class="line"><a name="l01764"></a><span class="lineno"><a class="line" href="structfaiss_1_1IndexIVFScalarQuantizer.html#a4079709524ca1abf344580b94b223e2a"> 1764</a></span>&#160;<span class="keywordtype">void</span> <a class="code" href="structfaiss_1_1IndexIVFScalarQuantizer.html#a4079709524ca1abf344580b94b223e2a">IndexIVFScalarQuantizer::encode_vectors</a>(idx_t n, <span class="keyword">const</span> <span class="keywordtype">float</span>* x,</div>
<div class="line"><a name="l01765"></a><span class="lineno"> 1765</span>&#160;                                             <span class="keyword">const</span> idx_t *list_nos,</div>
<div class="line"><a name="l01766"></a><span class="lineno"> 1766</span>&#160;                                             uint8_t * codes)<span class="keyword"> const</span></div>
<div class="line"><a name="l01767"></a><span class="lineno"> 1767</span>&#160;<span class="keyword"></span>{</div>
<div class="line"><a name="l01768"></a><span class="lineno"> 1768</span>&#160;    Quantizer *squant = select_quantizer (sq);</div>
<div class="line"><a name="l01769"></a><span class="lineno"> 1769</span>&#160;    <a class="code" href="structfaiss_1_1ScopeDeleter1.html">ScopeDeleter1&lt;Quantizer&gt;</a> del (squant);</div>
<div class="line"><a name="l01770"></a><span class="lineno"> 1770</span>&#160;    memset(codes, 0, <a class="code" href="structfaiss_1_1IndexIVF.html#a46d1aeddb60643c5b3f096147c3e028f">code_size</a> * n);</div>
<div class="line"><a name="l01771"></a><span class="lineno"> 1771</span>&#160;</div>
<div class="line"><a name="l01772"></a><span class="lineno"> 1772</span>&#160;<span class="preprocessor">#pragma omp parallel</span></div>
<div class="line"><a name="l01773"></a><span class="lineno"> 1773</span>&#160;<span class="preprocessor"></span>    {</div>
<div class="line"><a name="l01774"></a><span class="lineno"> 1774</span>&#160;        std::vector&lt;float&gt; residual (d);</div>
<div class="line"><a name="l01775"></a><span class="lineno"> 1775</span>&#160;</div>
<div class="line"><a name="l01776"></a><span class="lineno"> 1776</span>&#160;        <span class="comment">// each thread takes care of a subset of lists</span></div>
<div class="line"><a name="l01777"></a><span class="lineno"> 1777</span>&#160;<span class="preprocessor">#pragma omp for</span></div>
<div class="line"><a name="l01778"></a><span class="lineno"> 1778</span>&#160;<span class="preprocessor"></span>        <span class="keywordflow">for</span> (<span class="keywordtype">size_t</span> i = 0; i &lt; n; i++) {</div>
<div class="line"><a name="l01779"></a><span class="lineno"> 1779</span>&#160;            <span class="keywordtype">long</span> list_no = list_nos [i];</div>
<div class="line"><a name="l01780"></a><span class="lineno"> 1780</span>&#160;            <span class="keywordflow">if</span> (list_no &gt;= 0) {</div>
<div class="line"><a name="l01781"></a><span class="lineno"> 1781</span>&#160;                <span class="keyword">const</span> <span class="keywordtype">float</span> *xi = x + i * <a class="code" href="structfaiss_1_1Index.html#a2a002388d2c081c2dbab8508dcefe73d">d</a>;</div>
<div class="line"><a name="l01782"></a><span class="lineno"> 1782</span>&#160;                <span class="keywordflow">if</span> (by_residual) {</div>
<div class="line"><a name="l01783"></a><span class="lineno"> 1783</span>&#160;                    quantizer-&gt;compute_residual (</div>
<div class="line"><a name="l01784"></a><span class="lineno"> 1784</span>&#160;                          xi, residual.data(), list_no);</div>
<div class="line"><a name="l01785"></a><span class="lineno"> 1785</span>&#160;                    xi = residual.data ();</div>
<div class="line"><a name="l01786"></a><span class="lineno"> 1786</span>&#160;                }</div>
<div class="line"><a name="l01787"></a><span class="lineno"> 1787</span>&#160;                squant-&gt;encode_vector (xi, codes + i * <a class="code" href="structfaiss_1_1IndexIVF.html#a46d1aeddb60643c5b3f096147c3e028f">code_size</a>);</div>
<div class="line"><a name="l01788"></a><span class="lineno"> 1788</span>&#160;            }</div>
<div class="line"><a name="l01789"></a><span class="lineno"> 1789</span>&#160;        }</div>
<div class="line"><a name="l01790"></a><span class="lineno"> 1790</span>&#160;    }</div>
<div class="line"><a name="l01791"></a><span class="lineno"> 1791</span>&#160;}</div>
<div class="line"><a name="l01792"></a><span class="lineno"> 1792</span>&#160;</div>
<div class="line"><a name="l01793"></a><span class="lineno"> 1793</span>&#160;</div>
<div class="line"><a name="l01794"></a><span class="lineno"> 1794</span>&#160;</div>
<div class="line"><a name="l01795"></a><span class="lineno"> 1795</span>&#160;<span class="keywordtype">void</span> <a class="code" href="structfaiss_1_1IndexIVFScalarQuantizer.html#afa95c17787b7e3dbed9309b440d4d748">IndexIVFScalarQuantizer::add_with_ids</a></div>
<div class="line"><a name="l01796"></a><span class="lineno"><a class="line" href="structfaiss_1_1IndexIVFScalarQuantizer.html#afa95c17787b7e3dbed9309b440d4d748"> 1796</a></span>&#160;       (idx_t n, <span class="keyword">const</span> <span class="keywordtype">float</span> * x, <span class="keyword">const</span> <span class="keywordtype">long</span> *xids)</div>
<div class="line"><a name="l01797"></a><span class="lineno"> 1797</span>&#160;{</div>
<div class="line"><a name="l01798"></a><span class="lineno"> 1798</span>&#160;    FAISS_THROW_IF_NOT (is_trained);</div>
<div class="line"><a name="l01799"></a><span class="lineno"> 1799</span>&#160;    <span class="keywordtype">long</span> * idx = <span class="keyword">new</span> <span class="keywordtype">long</span> [n];</div>
<div class="line"><a name="l01800"></a><span class="lineno"> 1800</span>&#160;    <a class="code" href="structfaiss_1_1ScopeDeleter.html">ScopeDeleter&lt;long&gt;</a> del (idx);</div>
<div class="line"><a name="l01801"></a><span class="lineno"> 1801</span>&#160;    quantizer-&gt;assign (n, x, idx);</div>
<div class="line"><a name="l01802"></a><span class="lineno"> 1802</span>&#160;    <span class="keywordtype">size_t</span> nadd = 0;</div>
<div class="line"><a name="l01803"></a><span class="lineno"> 1803</span>&#160;    Quantizer *squant = select_quantizer (sq);</div>
<div class="line"><a name="l01804"></a><span class="lineno"> 1804</span>&#160;    <a class="code" href="structfaiss_1_1ScopeDeleter1.html">ScopeDeleter1&lt;Quantizer&gt;</a> del2 (squant);</div>
<div class="line"><a name="l01805"></a><span class="lineno"> 1805</span>&#160;</div>
<div class="line"><a name="l01806"></a><span class="lineno"> 1806</span>&#160;<span class="preprocessor">#pragma omp parallel reduction(+: nadd)</span></div>
<div class="line"><a name="l01807"></a><span class="lineno"> 1807</span>&#160;<span class="preprocessor"></span>    {</div>
<div class="line"><a name="l01808"></a><span class="lineno"> 1808</span>&#160;        std::vector&lt;float&gt; residual (d);</div>
<div class="line"><a name="l01809"></a><span class="lineno"> 1809</span>&#160;        std::vector&lt;uint8_t&gt; one_code (code_size);</div>
<div class="line"><a name="l01810"></a><span class="lineno"> 1810</span>&#160;        <span class="keywordtype">int</span> nt = omp_get_num_threads();</div>
<div class="line"><a name="l01811"></a><span class="lineno"> 1811</span>&#160;        <span class="keywordtype">int</span> rank = omp_get_thread_num();</div>
<div class="line"><a name="l01812"></a><span class="lineno"> 1812</span>&#160;</div>
<div class="line"><a name="l01813"></a><span class="lineno"> 1813</span>&#160;        <span class="comment">// each thread takes care of a subset of lists</span></div>
<div class="line"><a name="l01814"></a><span class="lineno"> 1814</span>&#160;        <span class="keywordflow">for</span> (<span class="keywordtype">size_t</span> i = 0; i &lt; n; i++) {</div>
<div class="line"><a name="l01815"></a><span class="lineno"> 1815</span>&#160;            <span class="keywordtype">long</span> list_no = idx [i];</div>
<div class="line"><a name="l01816"></a><span class="lineno"> 1816</span>&#160;            <span class="keywordflow">if</span> (list_no &gt;= 0 &amp;&amp; list_no % nt == rank) {</div>
<div class="line"><a name="l01817"></a><span class="lineno"> 1817</span>&#160;                <span class="keywordtype">long</span> <span class="keywordtype">id</span> = xids ? xids[i] : ntotal + i;</div>
<div class="line"><a name="l01818"></a><span class="lineno"> 1818</span>&#160;</div>
<div class="line"><a name="l01819"></a><span class="lineno"> 1819</span>&#160;                <span class="keyword">const</span> <span class="keywordtype">float</span> * xi = x + i * d;</div>
<div class="line"><a name="l01820"></a><span class="lineno"> 1820</span>&#160;                <span class="keywordflow">if</span> (by_residual) {</div>
<div class="line"><a name="l01821"></a><span class="lineno"> 1821</span>&#160;                    quantizer-&gt;compute_residual (xi, residual.data(), list_no);</div>
<div class="line"><a name="l01822"></a><span class="lineno"> 1822</span>&#160;                    xi = residual.data();</div>
<div class="line"><a name="l01823"></a><span class="lineno"> 1823</span>&#160;                }</div>
<div class="line"><a name="l01824"></a><span class="lineno"> 1824</span>&#160;</div>
<div class="line"><a name="l01825"></a><span class="lineno"> 1825</span>&#160;                memset (one_code.data(), 0, code_size);</div>
<div class="line"><a name="l01826"></a><span class="lineno"> 1826</span>&#160;                squant-&gt;encode_vector (xi, one_code.data());</div>
<div class="line"><a name="l01827"></a><span class="lineno"> 1827</span>&#160;</div>
<div class="line"><a name="l01828"></a><span class="lineno"> 1828</span>&#160;                invlists-&gt;add_entry (list_no, <span class="keywordtype">id</span>, one_code.data());</div>
<div class="line"><a name="l01829"></a><span class="lineno"> 1829</span>&#160;</div>
<div class="line"><a name="l01830"></a><span class="lineno"> 1830</span>&#160;                nadd++;</div>
<div class="line"><a name="l01831"></a><span class="lineno"> 1831</span>&#160;</div>
<div class="line"><a name="l01832"></a><span class="lineno"> 1832</span>&#160;            }</div>
<div class="line"><a name="l01833"></a><span class="lineno"> 1833</span>&#160;        }</div>
<div class="line"><a name="l01834"></a><span class="lineno"> 1834</span>&#160;    }</div>
<div class="line"><a name="l01835"></a><span class="lineno"> 1835</span>&#160;    ntotal += n;</div>
<div class="line"><a name="l01836"></a><span class="lineno"> 1836</span>&#160;}</div>
<div class="line"><a name="l01837"></a><span class="lineno"> 1837</span>&#160;</div>
<div class="line"><a name="l01838"></a><span class="lineno"> 1838</span>&#160;</div>
<div class="line"><a name="l01839"></a><span class="lineno"> 1839</span>&#160;</div>
<div class="line"><a name="l01840"></a><span class="lineno"> 1840</span>&#160;</div>
<div class="line"><a name="l01841"></a><span class="lineno"> 1841</span>&#160;</div>
<div class="line"><a name="l01842"></a><span class="lineno"> 1842</span>&#160;<a class="code" href="structfaiss_1_1InvertedListScanner.html">InvertedListScanner</a>* <a class="code" href="structfaiss_1_1IndexIVFScalarQuantizer.html#ace901d49514b5b1384b6a07ec8a49363">IndexIVFScalarQuantizer::get_InvertedListScanner</a></div>
<div class="line"><a name="l01843"></a><span class="lineno"><a class="line" href="structfaiss_1_1IndexIVFScalarQuantizer.html#ace901d49514b5b1384b6a07ec8a49363"> 1843</a></span>&#160;    (<span class="keywordtype">bool</span> store_pairs) <span class="keyword">const</span></div>
<div class="line"><a name="l01844"></a><span class="lineno"> 1844</span>&#160;{</div>
<div class="line"><a name="l01845"></a><span class="lineno"> 1845</span>&#160;    <span class="keywordflow">return</span> select_InvertedListScanner (metric_type, &amp;sq, quantizer, store_pairs,</div>
<div class="line"><a name="l01846"></a><span class="lineno"> 1846</span>&#160;                                       by_residual);</div>
<div class="line"><a name="l01847"></a><span class="lineno"> 1847</span>&#160;}</div>
<div class="line"><a name="l01848"></a><span class="lineno"> 1848</span>&#160;</div>
<div class="line"><a name="l01849"></a><span class="lineno"> 1849</span>&#160;</div>
<div class="line"><a name="l01850"></a><span class="lineno"><a class="line" href="structfaiss_1_1IndexIVFScalarQuantizer.html#a0320af8f30a0e3491853743b8f6d0faa"> 1850</a></span>&#160;<span class="keywordtype">void</span> <a class="code" href="structfaiss_1_1IndexIVFScalarQuantizer.html#a0320af8f30a0e3491853743b8f6d0faa">IndexIVFScalarQuantizer::reconstruct_from_offset</a> (<span class="keywordtype">long</span> list_no,</div>
<div class="line"><a name="l01851"></a><span class="lineno"> 1851</span>&#160;                                                       <span class="keywordtype">long</span> offset,</div>
<div class="line"><a name="l01852"></a><span class="lineno"> 1852</span>&#160;                                                       <span class="keywordtype">float</span>* recons)<span class="keyword"> const</span></div>
<div class="line"><a name="l01853"></a><span class="lineno"> 1853</span>&#160;<span class="keyword"></span>{</div>
<div class="line"><a name="l01854"></a><span class="lineno"> 1854</span>&#160;    std::vector&lt;float&gt; centroid(d);</div>
<div class="line"><a name="l01855"></a><span class="lineno"> 1855</span>&#160;    quantizer-&gt;reconstruct (list_no, centroid.data());</div>
<div class="line"><a name="l01856"></a><span class="lineno"> 1856</span>&#160;</div>
<div class="line"><a name="l01857"></a><span class="lineno"> 1857</span>&#160;    <span class="keyword">const</span> uint8_t* code = <a class="code" href="structfaiss_1_1IndexIVF.html#aa0e8fc5e04cbd8e0dde61f98bc7dd0bc">invlists</a>-&gt;<a class="code" href="structfaiss_1_1InvertedLists.html#afc2760bed7c210f2fad9b03109f561ee">get_single_code</a> (list_no, offset);</div>
<div class="line"><a name="l01858"></a><span class="lineno"> 1858</span>&#160;    sq.decode (code, recons, 1);</div>
<div class="line"><a name="l01859"></a><span class="lineno"> 1859</span>&#160;    <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i &lt; <a class="code" href="structfaiss_1_1Index.html#a2a002388d2c081c2dbab8508dcefe73d">d</a>; ++i) {</div>
<div class="line"><a name="l01860"></a><span class="lineno"> 1860</span>&#160;        recons[i] += centroid[i];</div>
<div class="line"><a name="l01861"></a><span class="lineno"> 1861</span>&#160;    }</div>
<div class="line"><a name="l01862"></a><span class="lineno"> 1862</span>&#160;}</div>
<div class="line"><a name="l01863"></a><span class="lineno"> 1863</span>&#160;</div>
<div class="line"><a name="l01864"></a><span class="lineno"> 1864</span>&#160;} <span class="comment">// namespace faiss</span></div>
<div class="ttc" id="structfaiss_1_1IndexIVF_html"><div class="ttname"><a href="structfaiss_1_1IndexIVF.html">faiss::IndexIVF</a></div><div class="ttdef"><b>Definition:</b> <a href="IndexIVF_8h_source.html#l00090">IndexIVF.h:90</a></div></div>
<div class="ttc" id="structfaiss_1_1IndexIVFScalarQuantizer_html_a4079709524ca1abf344580b94b223e2a"><div class="ttname"><a href="structfaiss_1_1IndexIVFScalarQuantizer.html#a4079709524ca1abf344580b94b223e2a">faiss::IndexIVFScalarQuantizer::encode_vectors</a></div><div class="ttdeci">void encode_vectors(idx_t n, const float *x, const idx_t *list_nos, uint8_t *codes) const override</div><div class="ttdef"><b>Definition:</b> <a href="IndexScalarQuantizer_8cpp_source.html#l01764">IndexScalarQuantizer.cpp:1764</a></div></div>
<div class="ttc" id="structfaiss_1_1ScalarQuantizer_html_a647b8774e4cd8ca5623a194f5c7f8a33"><div class="ttname"><a href="structfaiss_1_1ScalarQuantizer.html#a647b8774e4cd8ca5623a194f5c7f8a33">faiss::ScalarQuantizer::code_size</a></div><div class="ttdeci">size_t code_size</div><div class="ttdoc">bytes per vector </div><div class="ttdef"><b>Definition:</b> <a href="IndexScalarQuantizer_8h_source.html#l00065">IndexScalarQuantizer.h:65</a></div></div>
<div class="ttc" id="structfaiss_1_1ScalarQuantizer_html_a1201dbd1611fa5c10782ade5d0e4952e"><div class="ttname"><a href="structfaiss_1_1ScalarQuantizer.html#a1201dbd1611fa5c10782ade5d0e4952e">faiss::ScalarQuantizer::QuantizerType</a></div><div class="ttdeci">QuantizerType</div><div class="ttdef"><b>Definition:</b> <a href="IndexScalarQuantizer_8h_source.html#l00034">IndexScalarQuantizer.h:34</a></div></div>
<div class="ttc" id="structfaiss_1_1IndexScalarQuantizer_html_abf24732c29106bb808148c3d30599662"><div class="ttname"><a href="structfaiss_1_1IndexScalarQuantizer.html#abf24732c29106bb808148c3d30599662">faiss::IndexScalarQuantizer::search</a></div><div class="ttdeci">void search(idx_t n, const float *x, idx_t k, float *distances, idx_t *labels) const override</div><div class="ttdef"><b>Definition:</b> <a href="IndexScalarQuantizer_8cpp_source.html#l01640">IndexScalarQuantizer.cpp:1640</a></div></div>
<div class="ttc" id="structfaiss_1_1SQDistanceComputer_html"><div class="ttname"><a href="structfaiss_1_1SQDistanceComputer.html">faiss::SQDistanceComputer</a></div><div class="ttdef"><b>Definition:</b> <a href="IndexScalarQuantizer_8cpp_source.html#l00047">IndexScalarQuantizer.cpp:47</a></div></div>
<div class="ttc" id="structfaiss_1_1IndexIVFScalarQuantizer_html_ac05d7fbfed59c85d1cf8ae526d279744"><div class="ttname"><a href="structfaiss_1_1IndexIVFScalarQuantizer.html#ac05d7fbfed59c85d1cf8ae526d279744">faiss::IndexIVFScalarQuantizer::train_residual</a></div><div class="ttdeci">void train_residual(idx_t n, const float *x) override</div><div class="ttdef"><b>Definition:</b> <a href="IndexScalarQuantizer_8cpp_source.html#l01735">IndexScalarQuantizer.cpp:1735</a></div></div>
<div class="ttc" id="structfaiss_1_1DistanceComputer_html"><div class="ttname"><a href="structfaiss_1_1DistanceComputer.html">faiss::DistanceComputer</a></div><div class="ttdef"><b>Definition:</b> <a href="AuxIndexStructures_8h_source.html#l00231">AuxIndexStructures.h:231</a></div></div>
<div class="ttc" id="structfaiss_1_1ScalarQuantizer_html_a867ad0000e4ccfd40bbb1e01e7882d06ab0709ff74c1b882b64a7fdd7ca5df9a3"><div class="ttname"><a href="structfaiss_1_1ScalarQuantizer.html#a867ad0000e4ccfd40bbb1e01e7882d06ab0709ff74c1b882b64a7fdd7ca5df9a3">faiss::ScalarQuantizer::RS_optim</a></div><div class="ttdoc">alternate optimization of reconstruction error </div><div class="ttdef"><b>Definition:</b> <a href="IndexScalarQuantizer_8h_source.html#l00055">IndexScalarQuantizer.h:55</a></div></div>
<div class="ttc" id="structfaiss_1_1IndexScalarQuantizer_html"><div class="ttname"><a href="structfaiss_1_1IndexScalarQuantizer.html">faiss::IndexScalarQuantizer</a></div><div class="ttdef"><b>Definition:</b> <a href="IndexScalarQuantizer_8h_source.html#l00092">IndexScalarQuantizer.h:92</a></div></div>
<div class="ttc" id="structfaiss_1_1ScalarQuantizer_html_a1201dbd1611fa5c10782ade5d0e4952ea029f07a15ea64e7e73daaf9633ac429a"><div class="ttname"><a href="structfaiss_1_1ScalarQuantizer.html#a1201dbd1611fa5c10782ade5d0e4952ea029f07a15ea64e7e73daaf9633ac429a">faiss::ScalarQuantizer::QT_8bit_uniform</a></div><div class="ttdoc">same, shared range for all dimensions </div><div class="ttdef"><b>Definition:</b> <a href="IndexScalarQuantizer_8h_source.html#l00037">IndexScalarQuantizer.h:37</a></div></div>
<div class="ttc" id="structfaiss_1_1IndexIVFScalarQuantizer_html_a0320af8f30a0e3491853743b8f6d0faa"><div class="ttname"><a href="structfaiss_1_1IndexIVFScalarQuantizer.html#a0320af8f30a0e3491853743b8f6d0faa">faiss::IndexIVFScalarQuantizer::reconstruct_from_offset</a></div><div class="ttdeci">void reconstruct_from_offset(long list_no, long offset, float *recons) const override</div><div class="ttdef"><b>Definition:</b> <a href="IndexScalarQuantizer_8cpp_source.html#l01850">IndexScalarQuantizer.cpp:1850</a></div></div>
<div class="ttc" id="structfaiss_1_1IndexScalarQuantizer_html_ad49602f9ecfcaa2ec8737a449b69ccd7"><div class="ttname"><a href="structfaiss_1_1IndexScalarQuantizer.html#ad49602f9ecfcaa2ec8737a449b69ccd7">faiss::IndexScalarQuantizer::add</a></div><div class="ttdeci">void add(idx_t n, const float *x) override</div><div class="ttdef"><b>Definition:</b> <a href="IndexScalarQuantizer_8cpp_source.html#l01631">IndexScalarQuantizer.cpp:1631</a></div></div>
<div class="ttc" id="namespacefaiss_html_a14884d253128c7af5891a65082ad7dc6"><div class="ttname"><a href="namespacefaiss.html#a14884d253128c7af5891a65082ad7dc6">faiss::fvecs_maybe_subsample</a></div><div class="ttdeci">const float * fvecs_maybe_subsample(size_t d, size_t *n, size_t nmax, const float *x, bool verbose, long seed)</div><div class="ttdef"><b>Definition:</b> <a href="utils_8cpp_source.html#l01540">utils.cpp:1540</a></div></div>
<div class="ttc" id="structfaiss_1_1ScalarQuantizer_html_a1201dbd1611fa5c10782ade5d0e4952eacd3d1bd71533a7bc52149e4b3d1db13b"><div class="ttname"><a href="structfaiss_1_1ScalarQuantizer.html#a1201dbd1611fa5c10782ade5d0e4952eacd3d1bd71533a7bc52149e4b3d1db13b">faiss::ScalarQuantizer::QT_4bit</a></div><div class="ttdoc">4 bits per component </div><div class="ttdef"><b>Definition:</b> <a href="IndexScalarQuantizer_8h_source.html#l00036">IndexScalarQuantizer.h:36</a></div></div>
<div class="ttc" id="structfaiss_1_1IndexScalarQuantizer_html_af0d6b901a2a02fff34e5c7c1ea5b8d55"><div class="ttname"><a href="structfaiss_1_1IndexScalarQuantizer.html#af0d6b901a2a02fff34e5c7c1ea5b8d55">faiss::IndexScalarQuantizer::reset</a></div><div class="ttdeci">void reset() override</div><div class="ttdoc">removes all elements from the database. </div><div class="ttdef"><b>Definition:</b> <a href="IndexScalarQuantizer_8cpp_source.html#l01690">IndexScalarQuantizer.cpp:1690</a></div></div>
<div class="ttc" id="structfaiss_1_1ScopeDeleter1_html"><div class="ttname"><a href="structfaiss_1_1ScopeDeleter1.html">faiss::ScopeDeleter1</a></div><div class="ttdef"><b>Definition:</b> <a href="FaissException_8h_source.html#l00058">FaissException.h:58</a></div></div>
<div class="ttc" id="structfaiss_1_1ScopeDeleter_html"><div class="ttname"><a href="structfaiss_1_1ScopeDeleter.html">faiss::ScopeDeleter</a></div><div class="ttdef"><b>Definition:</b> <a href="FaissException_8h_source.html#l00045">FaissException.h:45</a></div></div>
<div class="ttc" id="structfaiss_1_1ScalarQuantizer_html"><div class="ttname"><a href="structfaiss_1_1ScalarQuantizer.html">faiss::ScalarQuantizer</a></div><div class="ttdef"><b>Definition:</b> <a href="IndexScalarQuantizer_8h_source.html#l00032">IndexScalarQuantizer.h:32</a></div></div>
<div class="ttc" id="structfaiss_1_1IndexIVFScalarQuantizer_html_afa95c17787b7e3dbed9309b440d4d748"><div class="ttname"><a href="structfaiss_1_1IndexIVFScalarQuantizer.html#afa95c17787b7e3dbed9309b440d4d748">faiss::IndexIVFScalarQuantizer::add_with_ids</a></div><div class="ttdeci">void add_with_ids(idx_t n, const float *x, const long *xids) override</div><div class="ttdoc">default implementation that calls encode_vectors </div><div class="ttdef"><b>Definition:</b> <a href="IndexScalarQuantizer_8cpp_source.html#l01796">IndexScalarQuantizer.cpp:1796</a></div></div>
<div class="ttc" id="structfaiss_1_1Index_html_a2a002388d2c081c2dbab8508dcefe73d"><div class="ttname"><a href="structfaiss_1_1Index.html#a2a002388d2c081c2dbab8508dcefe73d">faiss::Index::d</a></div><div class="ttdeci">int d</div><div class="ttdoc">vector dimension </div><div class="ttdef"><b>Definition:</b> <a href="Index_8h_source.html#l00066">Index.h:66</a></div></div>
<div class="ttc" id="structfaiss_1_1Index_html_ad3f0d3071f987baabbdd3da4500c87ea"><div class="ttname"><a href="structfaiss_1_1Index.html#ad3f0d3071f987baabbdd3da4500c87ea">faiss::Index::idx_t</a></div><div class="ttdeci">long idx_t</div><div class="ttdoc">all indices are this type </div><div class="ttdef"><b>Definition:</b> <a href="Index_8h_source.html#l00062">Index.h:62</a></div></div>
<div class="ttc" id="structfaiss_1_1InvertedLists_html_afc2760bed7c210f2fad9b03109f561ee"><div class="ttname"><a href="structfaiss_1_1InvertedLists.html#afc2760bed7c210f2fad9b03109f561ee">faiss::InvertedLists::get_single_code</a></div><div class="ttdeci">virtual const uint8_t * get_single_code(size_t list_no, size_t offset) const </div><div class="ttdef"><b>Definition:</b> <a href="InvertedLists_8cpp_source.html#l00052">InvertedLists.cpp:52</a></div></div>
<div class="ttc" id="structfaiss_1_1InvertedListScanner_html_a218aeaf7cc45bf0bf27c3a8bfa44e303"><div class="ttname"><a href="structfaiss_1_1InvertedListScanner.html#a218aeaf7cc45bf0bf27c3a8bfa44e303">faiss::InvertedListScanner::scan_codes</a></div><div class="ttdeci">virtual size_t scan_codes(size_t n, const uint8_t *codes, const idx_t *ids, float *distances, idx_t *labels, size_t k) const =0</div></div>
<div class="ttc" id="structfaiss_1_1Index_html_a6970683faa021b7a6f1a0865c0d4eccd"><div class="ttname"><a href="structfaiss_1_1Index.html#a6970683faa021b7a6f1a0865c0d4eccd">faiss::Index::ntotal</a></div><div class="ttdeci">idx_t ntotal</div><div class="ttdoc">total nb of indexed vectors </div><div class="ttdef"><b>Definition:</b> <a href="Index_8h_source.html#l00067">Index.h:67</a></div></div>
<div class="ttc" id="structfaiss_1_1ScalarQuantizer_html_a867ad0000e4ccfd40bbb1e01e7882d06"><div class="ttname"><a href="structfaiss_1_1ScalarQuantizer.html#a867ad0000e4ccfd40bbb1e01e7882d06">faiss::ScalarQuantizer::RangeStat</a></div><div class="ttdeci">RangeStat</div><div class="ttdef"><b>Definition:</b> <a href="IndexScalarQuantizer_8h_source.html#l00051">IndexScalarQuantizer.h:51</a></div></div>
<div class="ttc" id="structfaiss_1_1ScalarQuantizer_html_a867ad0000e4ccfd40bbb1e01e7882d06ae41cccec3a7acbcb3a47fa63c2bfb4c8"><div class="ttname"><a href="structfaiss_1_1ScalarQuantizer.html#a867ad0000e4ccfd40bbb1e01e7882d06ae41cccec3a7acbcb3a47fa63c2bfb4c8">faiss::ScalarQuantizer::RS_quantiles</a></div><div class="ttdoc">[Q(rs), Q(1-rs)] </div><div class="ttdef"><b>Definition:</b> <a href="IndexScalarQuantizer_8h_source.html#l00054">IndexScalarQuantizer.h:54</a></div></div>
<div class="ttc" id="structfaiss_1_1ScalarQuantizer_html_a867ad0000e4ccfd40bbb1e01e7882d06afb4b9f4ee9003fa0193e6de69632f7a0"><div class="ttname"><a href="structfaiss_1_1ScalarQuantizer.html#a867ad0000e4ccfd40bbb1e01e7882d06afb4b9f4ee9003fa0193e6de69632f7a0">faiss::ScalarQuantizer::RS_meanstd</a></div><div class="ttdoc">[mean - std * rs, mean + std * rs] </div><div class="ttdef"><b>Definition:</b> <a href="IndexScalarQuantizer_8h_source.html#l00053">IndexScalarQuantizer.h:53</a></div></div>
<div class="ttc" id="structfaiss_1_1ScalarQuantizer_html_a1201dbd1611fa5c10782ade5d0e4952eaf654ce120baf92b9ac3c43592744fbf8"><div class="ttname"><a href="structfaiss_1_1ScalarQuantizer.html#a1201dbd1611fa5c10782ade5d0e4952eaf654ce120baf92b9ac3c43592744fbf8">faiss::ScalarQuantizer::QT_6bit</a></div><div class="ttdoc">fast indexing of uint8s </div><div class="ttdef"><b>Definition:</b> <a href="IndexScalarQuantizer_8h_source.html#l00041">IndexScalarQuantizer.h:41</a></div></div>
<div class="ttc" id="structfaiss_1_1InvertedListScanner_html"><div class="ttname"><a href="structfaiss_1_1InvertedListScanner.html">faiss::InvertedListScanner</a></div><div class="ttdef"><b>Definition:</b> <a href="IndexIVF_8h_source.html#l00272">IndexIVF.h:272</a></div></div>
<div class="ttc" id="structfaiss_1_1ScalarQuantizer_html_a7ab9e9158da1777d45e6f9bf73bfd489"><div class="ttname"><a href="structfaiss_1_1ScalarQuantizer.html#a7ab9e9158da1777d45e6f9bf73bfd489">faiss::ScalarQuantizer::decode</a></div><div class="ttdeci">void decode(const uint8_t *code, float *x, size_t n) const </div><div class="ttdoc">decode a vector from a given code (or n vectors if third argument) </div><div class="ttdef"><b>Definition:</b> <a href="IndexScalarQuantizer_8cpp_source.html#l01290">IndexScalarQuantizer.cpp:1290</a></div></div>
<div class="ttc" id="structfaiss_1_1IndexIVFScalarQuantizer_html_ace901d49514b5b1384b6a07ec8a49363"><div class="ttname"><a href="structfaiss_1_1IndexIVFScalarQuantizer.html#ace901d49514b5b1384b6a07ec8a49363">faiss::IndexIVFScalarQuantizer::get_InvertedListScanner</a></div><div class="ttdeci">InvertedListScanner * get_InvertedListScanner(bool store_pairs) const override</div><div class="ttdoc">get a scanner for this index (store_pairs means ignore labels) </div><div class="ttdef"><b>Definition:</b> <a href="IndexScalarQuantizer_8cpp_source.html#l01843">IndexScalarQuantizer.cpp:1843</a></div></div>
<div class="ttc" id="structfaiss_1_1ScalarQuantizer_html_a2bccf276565c4f80fed3d0c715c58816"><div class="ttname"><a href="structfaiss_1_1ScalarQuantizer.html#a2bccf276565c4f80fed3d0c715c58816">faiss::ScalarQuantizer::compute_codes</a></div><div class="ttdeci">void compute_codes(const float *x, uint8_t *codes, size_t n) const </div><div class="ttdoc">same as compute_code for several vectors </div><div class="ttdef"><b>Definition:</b> <a href="IndexScalarQuantizer_8cpp_source.html#l01278">IndexScalarQuantizer.cpp:1278</a></div></div>
<div class="ttc" id="structfaiss_1_1Index_html_a8e18f641854b2bde83ecff0a2f9a6f4e"><div class="ttname"><a href="structfaiss_1_1Index.html#a8e18f641854b2bde83ecff0a2f9a6f4e">faiss::Index::metric_type</a></div><div class="ttdeci">MetricType metric_type</div><div class="ttdoc">type of metric this index uses for search </div><div class="ttdef"><b>Definition:</b> <a href="Index_8h_source.html#l00074">Index.h:74</a></div></div>
<div class="ttc" id="structfaiss_1_1IndexIVF_html_aa0e8fc5e04cbd8e0dde61f98bc7dd0bc"><div class="ttname"><a href="structfaiss_1_1IndexIVF.html#aa0e8fc5e04cbd8e0dde61f98bc7dd0bc">faiss::IndexIVF::invlists</a></div><div class="ttdeci">InvertedLists * invlists</div><div class="ttdoc">Acess to the actual data. </div><div class="ttdef"><b>Definition:</b> <a href="IndexIVF_8h_source.html#l00092">IndexIVF.h:92</a></div></div>
<div class="ttc" id="structfaiss_1_1ScalarQuantizer_html_a1201dbd1611fa5c10782ade5d0e4952ea1650389e3efa052ff60177d502328a2c"><div class="ttname"><a href="structfaiss_1_1ScalarQuantizer.html#a1201dbd1611fa5c10782ade5d0e4952ea1650389e3efa052ff60177d502328a2c">faiss::ScalarQuantizer::QT_8bit</a></div><div class="ttdoc">8 bits per component </div><div class="ttdef"><b>Definition:</b> <a href="IndexScalarQuantizer_8h_source.html#l00035">IndexScalarQuantizer.h:35</a></div></div>
<div class="ttc" id="structfaiss_1_1Index_html"><div class="ttname"><a href="structfaiss_1_1Index.html">faiss::Index</a></div><div class="ttdef"><b>Definition:</b> <a href="Index_8h_source.html#l00061">Index.h:61</a></div></div>
<div class="ttc" id="structfaiss_1_1IndexScalarQuantizer_html_a06e6935b75f0b209f65fffa1c9e1477c"><div class="ttname"><a href="structfaiss_1_1IndexScalarQuantizer.html#a06e6935b75f0b209f65fffa1c9e1477c">faiss::IndexScalarQuantizer::reconstruct_n</a></div><div class="ttdeci">void reconstruct_n(idx_t i0, idx_t ni, float *recons) const override</div><div class="ttdef"><b>Definition:</b> <a href="IndexScalarQuantizer_8cpp_source.html#l01696">IndexScalarQuantizer.cpp:1696</a></div></div>
<div class="ttc" id="structfaiss_1_1IndexScalarQuantizer_html_a8fb8680f64465d643d96119da58099f3"><div class="ttname"><a href="structfaiss_1_1IndexScalarQuantizer.html#a8fb8680f64465d643d96119da58099f3">faiss::IndexScalarQuantizer::reconstruct</a></div><div class="ttdeci">void reconstruct(idx_t key, float *recons) const override</div><div class="ttdef"><b>Definition:</b> <a href="IndexScalarQuantizer_8cpp_source.html#l01706">IndexScalarQuantizer.cpp:1706</a></div></div>
<div class="ttc" id="structfaiss_1_1ScalarQuantizer_html_a867ad0000e4ccfd40bbb1e01e7882d06aa52f2f14616c61c04baf6323d43588fd"><div class="ttname"><a href="structfaiss_1_1ScalarQuantizer.html#a867ad0000e4ccfd40bbb1e01e7882d06aa52f2f14616c61c04baf6323d43588fd">faiss::ScalarQuantizer::RS_minmax</a></div><div class="ttdoc">[min - rs*(max-min), max + rs*(max-min)] </div><div class="ttdef"><b>Definition:</b> <a href="IndexScalarQuantizer_8h_source.html#l00052">IndexScalarQuantizer.h:52</a></div></div>
<div class="ttc" id="structfaiss_1_1ScalarQuantizer_html_a30b411b10780a74079bbbfaff678c86f"><div class="ttname"><a href="structfaiss_1_1ScalarQuantizer.html#a30b411b10780a74079bbbfaff678c86f">faiss::ScalarQuantizer::trained</a></div><div class="ttdeci">std::vector&lt; float &gt; trained</div><div class="ttdoc">trained values (including the range) </div><div class="ttdef"><b>Definition:</b> <a href="IndexScalarQuantizer_8h_source.html#l00068">IndexScalarQuantizer.h:68</a></div></div>
<div class="ttc" id="structfaiss_1_1Index_html_a6e92732617c4dbe364e7678dd8773a7f"><div class="ttname"><a href="structfaiss_1_1Index.html#a6e92732617c4dbe364e7678dd8773a7f">faiss::Index::is_trained</a></div><div class="ttdeci">bool is_trained</div><div class="ttdoc">set if the Index does not require training, or if training is done already </div><div class="ttdef"><b>Definition:</b> <a href="Index_8h_source.html#l00071">Index.h:71</a></div></div>
<div class="ttc" id="structfaiss_1_1IndexScalarQuantizer_html_a300647e9cdac9acd160f2c55c610056b"><div class="ttname"><a href="structfaiss_1_1IndexScalarQuantizer.html#a300647e9cdac9acd160f2c55c610056b">faiss::IndexScalarQuantizer::train</a></div><div class="ttdeci">void train(idx_t n, const float *x) override</div><div class="ttdef"><b>Definition:</b> <a href="IndexScalarQuantizer_8cpp_source.html#l01625">IndexScalarQuantizer.cpp:1625</a></div></div>
<div class="ttc" id="structfaiss_1_1ScalarQuantizer_html_acd88af01ad1d06560cecc30bc38aef49"><div class="ttname"><a href="structfaiss_1_1ScalarQuantizer.html#acd88af01ad1d06560cecc30bc38aef49">faiss::ScalarQuantizer::d</a></div><div class="ttdeci">size_t d</div><div class="ttdoc">dimension of input vectors </div><div class="ttdef"><b>Definition:</b> <a href="IndexScalarQuantizer_8h_source.html#l00062">IndexScalarQuantizer.h:62</a></div></div>
<div class="ttc" id="structfaiss_1_1InvertedListScanner_html_a97cab8fbf8203bdda6c42fc4b8f92319"><div class="ttname"><a href="structfaiss_1_1InvertedListScanner.html#a97cab8fbf8203bdda6c42fc4b8f92319">faiss::InvertedListScanner::set_query</a></div><div class="ttdeci">virtual void set_query(const float *query_vector)=0</div><div class="ttdoc">from now on we handle this query. </div></div>
<div class="ttc" id="structfaiss_1_1IndexIVF_html_a46d1aeddb60643c5b3f096147c3e028f"><div class="ttname"><a href="structfaiss_1_1IndexIVF.html#a46d1aeddb60643c5b3f096147c3e028f">faiss::IndexIVF::code_size</a></div><div class="ttdeci">size_t code_size</div><div class="ttdoc">code size per vector in bytes </div><div class="ttdef"><b>Definition:</b> <a href="IndexIVF_8h_source.html#l00095">IndexIVF.h:95</a></div></div>
<div class="ttc" id="namespacefaiss_html_afd12191c638da74760ff397cf319752c"><div class="ttname"><a href="namespacefaiss.html#afd12191c638da74760ff397cf319752c">faiss::MetricType</a></div><div class="ttdeci">MetricType</div><div class="ttdoc">Some algorithms support both an inner product version and a L2 search version. </div><div class="ttdef"><b>Definition:</b> <a href="Index_8h_source.html#l00044">Index.h:44</a></div></div>
</div><!-- fragment --></div><!-- contents -->
<!-- start footer part -->
<hr class="footer"/><address class="footer"><small>
Generated by &#160;<a href="http://www.doxygen.org/index.html">
<img class="footer" src="doxygen.png" alt="doxygen"/>
</a> 1.8.5
</small></address>
</body>
</html>
